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string(956) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-1122.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-1122.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided (truncated...)
 InvalidAccessKeyId (client): The AWS Access Key Id you provided does not exist in our records. - <?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>WWYWP23AGE96AFJ7</RequestId><HostId>FuRujmAOKwD2TlTnjNBeVCigpSmLqh1VtoRRKqByybd7rCC/y35emmbs0h7stB77qjuRRhOlkFI=</HostId></Error>"

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string(956) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-1122.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-1122.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
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<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>SBZS8QTA33BARMSG</RequestId><HostId>lRJ9QGI/UODSx1Sfiu/9bGHs5rB3Gp597wMeA+wkdG0AmbsgCamuQ4u1HZqaqFNDM3YpCp9s9c8=</HostId></Error>"

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string(982) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-160x160.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-160x160.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
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<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>09CK6PWSRCFKB206</RequestId><HostId>0IE/UUqqTay4lY25LxC+DqITzCbmgaQExX3DqbhueZtFzsfwgmM4PuhcOtiG4B4TeqGn7rlVmw3cEDFmNLFYGOQPAgJKwFoG</HostId></Error>"

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string(986) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-280.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-280.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
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<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>QJ9HS8GJ255XM0M6</RequestId><HostId>yMI8v+amSPxYCtmH4jy9i0DegTScWNei3xDKOAX6m5gHt17Kml9EKXL2rdcFVtx2vWqPyDwyZ+91lYpTcEuG8g3IsmfI3ocurepYJ09ricg=</HostId></Error>"

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string(986) "Error executing "PutObject" on "https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-370.jpg"; AWS HTTP error: Client error: `PUT https://psr.s3.amazonaws.com/articlephoto/1110/Public-Schools-in-a-Minute-2026-Snapshot-Guide-5303cxoua000sgcokc8080g04-370.jpg` resulted in a `403 Forbidden` response:
<?xml version="1.0" encoding="UTF-8"?>
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<Error><Code>InvalidAccessKeyId</Code><Message>The AWS Access Key Id you provided does not exist in our records.</Message><AWSAccessKeyId>AKIA6GVA3W6TBPA3SW2M</AWSAccessKeyId><RequestId>BJJ8XW7BHQ9J15H3</RequestId><HostId>6L5zLP4I0znY0obTtJO4LmohUNJnySok9SkfIGL7FCZ+kdzCZNd8aaF5GHxdh56zn7FLPJNgFyAK09VB+OUxWuFJH4d9G2dbbCbvyB1QBhg=</HostId></Error>"

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                <h1 id="main-headline" class="" >P.s. 184 Shuang Wen</h1>
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                <div class='cr_content_wrapper'>327 Cherry St-2nd Fl<br><a href='/new-york/new-york'>New York</a>, NY <a href='/new-york/new-york/10002'>10002</a><br><div class='zone-text'>(<span class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content="School attendance zones are designated boundaries around public schools that determine student eligibility for attending a particular school. Students whose homes are located within a particular school's attendance zone are eligible for enrollment. School officials determine and periodically adjust attendance zones based on community demographics and other local factors.">School attendance zone</span> shown in map)</div></div>            </div>
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                        PS 184M Shuang Wen School, a public school in New York City also known as PS 184, is a Dual Language elementary and middle school located in Lower Manhattan. The school teaches students from Pre-Kindergarten to 8th grade.                    </div>
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                         Serving 734 students in grades Prekindergarten-8,&nbsp;P.s. 184 Shuang Wen ranks in the top 10% of all schools in New York for overall test scores (math proficiency is top 10%, and reading proficiency is top 10%).                     </div>
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                        The percentage of students achieving <span class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in math, as designated by New York and its state tests.'>proficiency in math</span> is 85% (which is higher than the New York state average of 52%). The percentage of students achieving <span class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in reading/language arts, as designated by New York and its state tests.'>proficiency in reading/language arts</span> is 75% (which is higher than the New York state average of 49%).                     </div>
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                        The student-teacher ratio of 16:1 is higher than the New York state level of 11:1.                     </div>
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                        Minority enrollment is 92% of the student body (majority Asian), which is higher than the New York state average of 60% (majority Hispanic and Black).                    </div>
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                                    <li class="quick-stats-li quick-stats-text">Grades: <strong class="">Prekindergarten-8</strong></li>
                                        <li class="quick-stats-li quick-stats-text">Enrollment: <strong class="">734 students</strong></li>
                                        <li class="quick-stats-li quick-stats-text">Student-Teacher Ratio: <strong class="">16:1</strong></li>
                                        <li class="quick-stats-li quick-stats-text">Minority Enrollment: <strong class="">92%</strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='Overall testing rank is based on a school&#39;s combined math and reading proficiency test scores for the 2022-23 school year (latest year available). Rank is calculated based on schools within a particular state only.'>Overall Testing Rank</div>: <strong class="">Top 10% in NY</strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in math for the 2022-23 school year (latest year available), as designated by New York and its state tests.'>Math Proficiency</div>: <strong class="">85% <span class='rank_description_text'>(Top 10%)</span></strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in reading/language arts for the 2021-22 school year (latest year available), as designated by New York and its state tests.'>Reading Proficiency</div>: <strong class="">75% <span class='rank_description_text'>(Top 20%)</span></strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in science for the 2021-22 school year (latest year available), as designated by New York and its state tests.'>Science Proficiency</div>: <strong class="">&ge;95% <span class='rank_description_text'>(Top 5%)</span></strong></li>
                                        <li class="quick-stats-li quick-stats-text">Source: <strong class="qsl-source-val">National Center for Education Statistics (NCES), NY Dept. of Education</strong></li>
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            <p class="top-placement-text">P.s. 184 Shuang Wen ranks among the <a href="/school-rankings/new-york">top 20% of public schools in New York</a> for:</p>
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                        <div class="t20p-list-column category-col">Math Proficiency</div>
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                        <div class="t20p-list-column attribute-col"><a class="t20p-list-link" href="/rla-proficiency-stats/new-york">Highest reading/language arts proficiency (Top 20%)</a></div>
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                        <div class="t20p-list-column attribute-col"><a class="t20p-list-link" href="/science-proficiency-stats/new-york">Highest science proficiency (Top 5%)</a></div>
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                <div class='checkmark_row'><div class='checkmark_content'>P.s. 184 Shuang Wen's student population of 734 students has stayed relatively flat over five school years.</div></div>                <div class='checkmark_row'><div class='checkmark_content'>The teacher population of 46 teachers has declined by 16% over five school years.</div></div>            </div>
            
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                <div class="dt-name-cell "  >Awards</div>
                <div class="dt-value-cell  dt-cells-1 "  ><a href='/new-york/blue-ribbon-public-schools' title='Honored for National Blue Ribbon Award'><span class='blueribbon-bg' title='Honored for National Blue Ribbon Award'></span>&nbsp;Blue Ribbon School - Selected in 2008, 2024</a></div>
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                <div class="dt-value-cell  dt-cells-1 "  >Grades Prekindergarten-8<br><font style="font-size: small;">(Supplemental virtual)</font></div>
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                    <table class="min-chart-datatable mcd-col2"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Distribution of Students By Grade Trends</h3><thead class="mcd-thead"><tr><th class="mcd-th col_grade">Grade</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">Pre-K</td><td class="mcd-td col_school">51</td></tr><tr><td class="mcd-td col_year">Kind</td><td class="mcd-td col_school">75</td></tr><tr><td class="mcd-td col_year">1</td><td class="mcd-td col_school">79</td></tr><tr><td class="mcd-td col_year">2</td><td class="mcd-td col_school">81</td></tr><tr><td class="mcd-td col_year">3</td><td class="mcd-td col_school">69</td></tr><tr><td class="mcd-td col_year">4</td><td class="mcd-td col_school">69</td></tr><tr><td class="mcd-td col_year">5</td><td class="mcd-td col_school">53</td></tr><tr><td class="mcd-td col_year">6</td><td class="mcd-td col_school">87</td></tr><tr><td class="mcd-td col_year">7</td><td class="mcd-td col_school">83</td></tr><tr><td class="mcd-td col_year">8</td><td class="mcd-td col_school">87</td></tr></tbody></table> 
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                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="students_by_grade" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="students_by_grade" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="students_by_grade" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Students_By_Grade" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for This chart displays the students of P.s. 184 Shuang Wen by grade. at P.s. 184 Shuang Wen:
grade | school
Pre-K | 51
Kind | 75
1 | 79
2 | 81
3 | 69
4 | 69
5 | 53
6 | 87
7 | 83
8 | 87

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Total Students</div>
                <div class="dt-value-cell  dt-cells-1 "  >734 students</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="total_students" id="total_students_chart_div" aria-label="This chart illustrates the total number of students at P.s. 184 Shuang Wen over the years, with the most recent data from the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Total-Students-2006-2024"></div>
                <div id="overlay-total_students-sm" class="chart_nav_bar small_device"><a id="data-link-total_students-sm" class="chart_nav_item" data-type="data" data-chart-id="total_students" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="total_students">
                    <table class="min-chart-datatable mcd-col2"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Total Students Trends Over Years (2006-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">734</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">736</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">720</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">715</td></tr><tr><td class="mcd-td col_year">2020</td><td class="mcd-td col_school">703</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">675</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">672</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">672</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">664</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">663</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">674</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">689</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">690</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">685</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">646</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">611</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">573</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">551</td></tr><tr><td class="mcd-td col_year">2006</td><td class="mcd-td col_school">451</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="total_students" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_students" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_students" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Total_Students" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Total Students Trends Over Years (2006-2024) at P.s. 184 Shuang Wen:
year | school
2024 | 734
2023 | 736
2022 | 720
2021 | 715
2020 | 703
2019 | 675
2018 | 672
2017 | 672
2016 | 664
2015 | 663
2014 | 674
2013 | 689
2012 | 690
2011 | 685
2010 | 646
2009 | 611
2008 | 573
2007 | 551
2006 | 451

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Gender %</div>
                <div class="dt-value-cell chartimg-cell pie-chart dt-cells-1 "  ><div class="chartdiv" id="gender_chart_div" aria-label="This pie chart depicts the gender distribution at P.s. 184 Shuang Wen." data-download-name="Ps-184-Shuang-Wen-Gender"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Total Classroom Teachers</div>
                <div class="dt-value-cell  dt-cells-1 "  >46 teachers</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="total_teachers" id="total_teachers_chart_div" aria-label="This chart illustrates the total number of teachers at P.s. 184 Shuang Wen over the years, with the most recent data from the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Total-Teachers-2006-2024"></div>
                <div id="overlay-total_teachers-sm" class="chart_nav_bar small_device"><a id="data-link-total_teachers-sm" class="chart_nav_item" data-type="data" data-chart-id="total_teachers" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="total_teachers">
                    <table class="min-chart-datatable mcd-col2"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Total Classroom Teachers Trends Over Years (2006-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">46</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">48</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">52</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">55</td></tr><tr><td class="mcd-td col_year">2020</td><td class="mcd-td col_school">51</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">51</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">46</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">46</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">44</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">41</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">38</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">39</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">42</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">41</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">42</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">39</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">33</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">32</td></tr><tr><td class="mcd-td col_year">2006</td><td class="mcd-td col_school">25</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="total_teachers" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_teachers" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="total_teachers" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Total_Teachers" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Total Classroom Teachers Trends Over Years (2006-2024) at P.s. 184 Shuang Wen:
year | school
2024 | 46
2023 | 48
2022 | 52
2021 | 55
2020 | 51
2019 | 51
2018 | 46
2017 | 46
2016 | 44
2015 | 41
2014 | 38
2013 | 39
2012 | 42
2011 | 41
2010 | 42
2009 | 39
2008 | 33
2007 | 32
2006 | 25

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Year Founded</div>
                <div class="dt-value-cell  dt-cells-1 "  >2003</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >School Calendar</div>
                <div class="dt-value-cell  dt-cells-1 "  ><a href="https://www.ps184m.org/apps/events/" target="_blank">View School Calendar</a></div>
                </div>
                    </div>
                    </div>
        
                    <div id='tms-ad-7' data-ad-viewports='Mobile,Big Mobile' data-ad-class=' tmsads  dc-mobile-square-3 dc-big-mobile-square-3' data-is-ms-ads='false' data-ms-adunit-id='' data-ad-wrapper-class='srn-ads-cnt dc-mobile-square-3 dc-big-mobile-square-3 dc-xs-block dc-md-block dc-lg-none dc-xl-none ' data-ad-id='unit-1605566104808' data-ad-type='default' data-ad-infinite='false' class='srn-ads-cnt srn-ads-cnt dc-mobile-square-3 dc-big-mobile-square-3 dc-xs-block dc-md-block dc-lg-none dc-xl-none  '></div>
                    <script>if(window['renderAD']){renderAD('tms-ad-7')}</script>        <h2 class='so-dt-title' id="school-rankings">School Rankings</h2>
                    <div class="checkmarks_list checkmark_comparison">
                <div class='checkmark_row'><div class='checkmark_content'>P.s. 184 Shuang Wen ranks within the top 10% of all 4,346 schools in New York (based off of combined math and reading proficiency testing data). </div></div>                                <div class='checkmark_row'><div class='checkmark_content'>The <span class='bubble_text' data-rel='tooltip' role='tooltip' data-tippy-content='The chance that two students selected at random would be members of a different ethnic group. Scored from 0 to 1, a diversity score closer to 1 indicates a more diverse student body.'>diversity score</span> of P.s. 184 Shuang Wen is 0.56, which is less than the <a href='/diversity-rankings-stats/new-york'>diversity score at state average of 0.72</a>. The school's diversity has stayed relatively flat over five school years.</div></div>            </div>
            
                    <div id='tms-ad-8' data-ad-viewports='Desktop' data-ad-class=' tmsads  dc-desktop-horizontal-4' data-is-ms-ads='false' data-ms-adunit-id='' data-ad-wrapper-class='srn-ads-cnt dc-desktop-horizontal-4 dc-xs-none dc-md-none dc-lg-none dc-xl-block ' data-ad-id='unit-1605565326090' data-ad-type='default' data-ad-infinite='false' class='srn-ads-cnt srn-ads-cnt dc-desktop-horizontal-4 dc-xs-none dc-md-none dc-lg-none dc-xl-block  '></div>
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                    <script>if(window['renderAD']){renderAD('tms-ad-9')}</script>        <div  class="general-data-table so-data-table" >
                    <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell definitions-name-cell"  ><a href="/definitions/school-vs-state" class="bubble_text definitions-link" data-rel="tooltip" role="tooltip" data-tippy-content="Definitions about comparing school level data and state level data, click and see more details" onclick="window.open('/definitions/school-vs-state', 'Definitions', 'status,resizable,scrollbars,width=800,height=800'); return false" >Definition of Terms</a></div>
                <div class="dt-value-cell fw-600 dt-cells-2 "  >This School</div>
                <div class="dt-value-cell fw-600 dt-cells-2 "  >State Level (NY)</div>
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                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The ranking of a school based on it&#39;s combined math and reading proficiency test score ranking, as designated by New York and it&#39;s state tests.'>Overall Testing Rank</div></div>
                <div class="dt-value-cell  dt-cells-1 "  ><span class='fw-600'>#353 out of 4346 schools</span><br>(Top 10%)</div>
                </div>
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                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
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                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="overall_school_rank" id="overall_school_rank_chart_div" aria-label="This chart illustrates the overall school ranking of P.s. 184 Shuang Wen, encompassing data from multiple years, including the most recent figures from the 2022-23 school year." data-download-name="Ps-184-Shuang-Wen-Overall-School-Rank-2012-2023"></div>
                <div id="overlay-overall_school_rank-sm" class="chart_nav_bar small_device"><a id="data-link-overall_school_rank-sm" class="chart_nav_item" data-type="data" data-chart-id="overall_school_rank" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="overall_school_rank">
                    <table class="min-chart-datatable mcd-col2"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Overall School Rank Trends Over Years (2012-2023)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">#353</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">#607</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">#854</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">#929</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">#993</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">#1068</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">#983</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">#822</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">#170</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">#785</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">#416</td></tr></tbody></table> 
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                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
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                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
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            <a href="#" class="ai-debug-btn" data-chart-key="Overall_School_Rank" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Overall School Rank Trends Over Years (2012-2023) at P.s. 184 Shuang Wen:
year | school
2023 | #353
2022 | #607
2021 | #854
2019 | #929
2018 | #993
2017 | #1068
2016 | #983
2015 | #822
2014 | #170
2013 | #785
2012 | #416

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students that scored at or above &#39;proficient&#39; levels in math, as designated by New York and its state tests.'>Math Test Scores (% Proficient)</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="85">85%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="52">52%</div>
            </div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="math_percent" id="math_percent_chart_div" aria-label="This chart presents a comparison of the percentage of students at P.s. 184 Shuang Wen who have achieved proficiency or higher in Math with the average percentages observed in the New York City Geographic District # 1 and New York public schools over several years, with the most recent data from the 2022-23 school year." data-download-name="Ps-184-Shuang-Wen-Math-Percent-2012-2023"></div>
                <div id="overlay-math_percent-sm" class="chart_nav_bar small_device"><a id="data-link-math_percent-sm" class="chart_nav_item" data-type="data" data-chart-id="math_percent" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="math_percent">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Math Proficiency Comparison Over Years (2012-2023)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">85%</td><td class="mcd-td col_state">52%</td><td class="mcd-td col_district">56%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">75%</td><td class="mcd-td col_state">46%</td><td class="mcd-td col_district">52%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">77%</td><td class="mcd-td col_state">55%</td><td class="mcd-td col_district">68%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">83%</td><td class="mcd-td col_state">54%</td><td class="mcd-td col_district">59%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">81%</td><td class="mcd-td col_state">52%</td><td class="mcd-td col_district">56%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">79%</td><td class="mcd-td col_state">50%</td><td class="mcd-td col_district">53%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">82%</td><td class="mcd-td col_state">49%</td><td class="mcd-td col_district">53%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">86%</td><td class="mcd-td col_state">48%</td><td class="mcd-td col_district">52%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">84%</td><td class="mcd-td col_state">41%</td><td class="mcd-td col_district">44%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">80%</td><td class="mcd-td col_state">39%</td><td class="mcd-td col_district">44%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">98%</td><td class="mcd-td col_state">69%</td><td class="mcd-td col_district">68%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
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                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="math_percent" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="math_percent" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="math_percent" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
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                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
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                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Math_Percent" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Math Proficiency Comparison Over Years (2012-2023) at P.s. 184 Shuang Wen:
year | school | state | district
2023 | 85% | 52% | 56%
2022 | 75% | 46% | 52%
2021 | 77% | 55% | 68%
2019 | 83% | 54% | 59%
2018 | 81% | 52% | 56%
2017 | 79% | 50% | 53%
2016 | 82% | 49% | 53%
2015 | 86% | 48% | 52%
2014 | 84% | 41% | 44%
2013 | 80% | 39% | 44%
2012 | 98% | 69% | 68%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students that scored at or above &#39;proficient&#39; levels in Reading/Language Arts, as designated by New York and its state tests.'>Reading/Language Arts Test Scores (% Proficient)</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="75">75%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="49">49%</div>
            </div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="rla_percent" id="rla_percent_chart_div" aria-label="This chart presents a comparison of the percentage of students at P.s. 184 Shuang Wen who have achieved proficiency or higher in RLA (Reading and Language Arts) with the average percentages observed in the New York City Geographic District # 1 and New York public schools over several years, with the most recent data from the 2021-22 school year." data-download-name="Ps-184-Shuang-Wen-RLA-Percent-2011-2022"></div>
                <div id="overlay-rla_percent-sm" class="chart_nav_bar small_device"><a id="data-link-rla_percent-sm" class="chart_nav_item" data-type="data" data-chart-id="rla_percent" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="rla_percent">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Reading and Language Arts Proficiency Comparison Over Years (2011-2022)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">75%</td><td class="mcd-td col_state">49%</td><td class="mcd-td col_district">56%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">78%</td><td class="mcd-td col_state">62%</td><td class="mcd-td col_district">75%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">75%</td><td class="mcd-td col_state">52%</td><td class="mcd-td col_district">62%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">72%</td><td class="mcd-td col_state">52%</td><td class="mcd-td col_district">56%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">65%</td><td class="mcd-td col_state">47%</td><td class="mcd-td col_district">55%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">66%</td><td class="mcd-td col_state">46%</td><td class="mcd-td col_district">52%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">68%</td><td class="mcd-td col_state">40%</td><td class="mcd-td col_district">48%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">70%</td><td class="mcd-td col_state">37%</td><td class="mcd-td col_district">41%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">68%</td><td class="mcd-td col_state">39%</td><td class="mcd-td col_district">41%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">89%</td><td class="mcd-td col_state">60%</td><td class="mcd-td col_district">57%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">88%</td><td class="mcd-td col_state">58%</td><td class="mcd-td col_district">55%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
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                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="rla_percent" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="rla_percent" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="rla_percent" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
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                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
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                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
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            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="RLA_Percent" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Reading and Language Arts Proficiency Comparison Over Years (2011-2022) at P.s. 184 Shuang Wen:
year | school | state | district
2022 | 75% | 49% | 56%
2021 | 78% | 62% | 75%
2019 | 75% | 52% | 62%
2018 | 72% | 52% | 56%
2017 | 65% | 47% | 55%
2016 | 66% | 46% | 52%
2015 | 68% | 40% | 48%
2014 | 70% | 37% | 41%
2013 | 68% | 39% | 41%
2012 | 89% | 60% | 57%
2011 | 88% | 58% | 55%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students that scored at or above &#39;proficient&#39; levels in Science, as designated by New York and its state tests.'>Science Test Scores (% Proficient)</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="95">&ge;95%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="78">78%</div>
            </div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="sci_percent" id="sci_percent_chart_div" aria-label="This chart presents a comparison of the percentage of students at P.s. 184 Shuang Wen who have achieved proficiency or higher in Science with the average percentages observed in the New York City Geographic District # 1 and New York public schools over several years, with the most recent data from the 2021-22 school year." data-download-name="Ps-184-Shuang-Wen-SCI-Percent-2021-2022"></div>
                <div id="overlay-sci_percent-sm" class="chart_nav_bar small_device"><a id="data-link-sci_percent-sm" class="chart_nav_item" data-type="data" data-chart-id="sci_percent" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="sci_percent">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Science Proficiency Comparison Over Years (2021-2022)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">95%</td><td class="mcd-td col_state">78%</td><td class="mcd-td col_district">81%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">90%</td><td class="mcd-td col_state">84%</td><td class="mcd-td col_district">90%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="sci_percent" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="sci_percent" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="sci_percent" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
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                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
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            </div>
            <span class="ai-debug-btn" style="cursor:default; text-decoration:none; color:#999;">No Summary generated because only 2 years of data available</span></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Student-Teacher Ratio</div>
                <div class="dt-value-cell  dt-cells-2 "  >16:1</div>
                <div class="dt-value-cell  dt-cells-2 "  >11:1</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="teacher_student_ratio" id="teacher_student_ratio_chart_div" aria-label="This chart presents a comparison of the student-teacher ratio at P.s. 184 Shuang Wen with the average student-teacher ratio for public schools in the New York City Geographic District # 1 and the state of New York, utilizing data from multiple years and featuring the most recent figures from the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Teacher-Student-Ratio-2006-2024"></div>
                <div id="overlay-teacher_student_ratio-sm" class="chart_nav_bar small_device"><a id="data-link-teacher_student_ratio-sm" class="chart_nav_item" data-type="data" data-chart-id="teacher_student_ratio" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="teacher_student_ratio">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Student-Teacher Ratio Comparison Over Years (2006-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">16:1</td><td class="mcd-td col_state">12:1</td><td class="mcd-td col_district">11:1</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">15:1</td><td class="mcd-td col_state">12:1</td><td class="mcd-td col_district">11:1</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">14:1</td><td class="mcd-td col_state">12:1</td><td class="mcd-td col_district">11:1</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">13:1</td><td class="mcd-td col_state">12:1</td><td class="mcd-td col_district">12:1</td></tr><tr><td class="mcd-td col_year">2020</td><td class="mcd-td col_school">14:1</td><td class="mcd-td col_state">13:1</td><td class="mcd-td col_district">12:1</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">13:1</td><td class="mcd-td col_state">13:1</td><td class="mcd-td col_district">12:1</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">15:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">15:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">15:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">16:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">18:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">14:1</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">18:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">14:1</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">16:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">13:1</td><td class="mcd-td col_district">12:1</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">15:1</td><td class="mcd-td col_state">13:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">16:1</td><td class="mcd-td col_state">13:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">13:1</td><td class="mcd-td col_district">14:1</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">17:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">13:1</td></tr><tr><td class="mcd-td col_year">2006</td><td class="mcd-td col_school">18:1</td><td class="mcd-td col_state">14:1</td><td class="mcd-td col_district">13:1</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
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                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="teacher_student_ratio" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="teacher_student_ratio" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="teacher_student_ratio" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Teacher_Student_Ratio" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Student-Teacher Ratio Comparison Over Years (2006-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 16:1 | 12:1 | 11:1
2023 | 15:1 | 12:1 | 11:1
2022 | 14:1 | 12:1 | 11:1
2021 | 13:1 | 12:1 | 12:1
2020 | 14:1 | 13:1 | 12:1
2019 | 13:1 | 13:1 | 12:1
2018 | 15:1 | 14:1 | 13:1
2017 | 15:1 | 14:1 | 13:1
2016 | 15:1 | 14:1 | 13:1
2015 | 16:1 | 14:1 | 13:1
2014 | 18:1 | 14:1 | 14:1
2013 | 18:1 | 14:1 | 14:1
2012 | 16:1 | 14:1 | 13:1
2011 | 17:1 | 13:1 | 12:1
2010 | 15:1 | 13:1 | 13:1
2009 | 16:1 | 13:1 | 13:1
2008 | 17:1 | 13:1 | 14:1
2007 | 17:1 | 14:1 | 13:1
2006 | 18:1 | 14:1 | 13:1

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color1">American Indian</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="1">1%</div>
            </div><div id="american_indian_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="american_indian_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="american_indian_ethnicity" id="american_indian_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as American Indian at P.s. 184 Shuang Wen, versus the percentage of public school students who identify as American Indian in the New York City Geographic District # 1 and in New York, utilizing data collected over several years with the most recent figures pertaining to the 2017-18 school year." data-download-name="Ps-184-Shuang-Wen-American-Indian-Ethnicity-2011-2018"></div>
                <div id="overlay-american_indian_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-american_indian_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="american_indian_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="american_indian_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">American Indian Student Percentage Comparison Over Years (2011-2018)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">2%</td><td class="mcd-td col_district"></td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">2%</td><td class="mcd-td col_district"></td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">1%</td><td class="mcd-td col_district"></td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">1%</td><td class="mcd-td col_district"></td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">1%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">1%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">1%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">1%</td><td class="mcd-td col_district">1%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="american_indian_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="american_indian_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="american_indian_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="American_Indian_Ethnicity" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for American Indian Student Percentage Comparison Over Years (2011-2018) at P.s. 184 Shuang Wen:
year | school | state | district
2018 | 1% | 2% | 
2017 | 1% | 2% | 
2016 | 1% | 1% | 
2015 | 1% | 1% | 
2014 | 1% | 1% | 1%
2013 | 1% | 1% | 2%
2012 | 1% | 1% | 2%
2011 | 1% | 1% | 1%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color2">Asian</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="64">64%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="10">10%</div>
            </div><div id="asian_islander_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="asian_islander_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="asian_islander_ethnicity" id="asian_islander_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as Asian at P.s. 184 Shuang Wen, versus the percentage of public school students who identify as Asian in the New York City Geographic District # 1 and in New York, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Asian-Islander-Ethnicity-2007-2024"></div>
                <div id="overlay-asian_islander_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-asian_islander_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="asian_islander_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="asian_islander_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Asian Student Percentage Comparison Over Years (2007-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">64%</td><td class="mcd-td col_state">10%</td><td class="mcd-td col_district">19%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">68%</td><td class="mcd-td col_state">10%</td><td class="mcd-td col_district">20%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">70%</td><td class="mcd-td col_state">10%</td><td class="mcd-td col_district">20%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">69%</td><td class="mcd-td col_state">10%</td><td class="mcd-td col_district">21%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">69%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">21%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">70%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">22%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">70%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">22%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">71%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">21%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">75%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">22%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">79%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">22%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">79%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">21%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">81%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">22%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">81%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">22%</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">82%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">22%</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">84%</td><td class="mcd-td col_state">9%</td><td class="mcd-td col_district">20%</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">83%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">19%</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">82%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">16%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="asian_islander_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="asian_islander_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="asian_islander_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Asian_Islander_Ethnicity" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Asian Student Percentage Comparison Over Years (2007-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 64% | 10% | 19%
2023 | 68% | 10% | 20%
2022 | 70% | 10% | 20%
2021 | 69% | 10% | 21%
2019 | 69% | 9% | 21%
2018 | 70% | 9% | 22%
2017 | 70% | 9% | 22%
2016 | 71% | 9% | 21%
2015 | 75% | 9% | 22%
2014 | 79% | 9% | 22%
2013 | 79% | 9% | 21%
2012 | 81% | 9% | 22%
2011 | 81% | 8% | 22%
2010 | 82% | 8% | 22%
2009 | 84% | 9% | 20%
2008 | 83% | 8% | 19%
2007 | 82% | 8% | 16%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color3">Hispanic</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="14">14%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="30">30%</div>
            </div><div id="hispanic_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="hispanic_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="hispanic_students_ethnicity" id="hispanic_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as Hispanic at P.s. 184 Shuang Wen, versus the percentage of public school students who identify as Hispanic in the New York City Geographic District # 1 and in New York, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Hispanic-Students-Ethnicity-2007-2024"></div>
                <div id="overlay-hispanic_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-hispanic_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="hispanic_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="hispanic_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Hispanic Student Percentage Comparison Over Years (2007-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">14%</td><td class="mcd-td col_state">30%</td><td class="mcd-td col_district">44%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">12%</td><td class="mcd-td col_state">29%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">12%</td><td class="mcd-td col_state">29%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">12%</td><td class="mcd-td col_state">28%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">13%</td><td class="mcd-td col_state">27%</td><td class="mcd-td col_district">41%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">12%</td><td class="mcd-td col_state">26%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">12%</td><td class="mcd-td col_state">26%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">12%</td><td class="mcd-td col_state">26%</td><td class="mcd-td col_district">43%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">10%</td><td class="mcd-td col_state">25%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">25%</td><td class="mcd-td col_district">41%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">7%</td><td class="mcd-td col_state">24%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">6%</td><td class="mcd-td col_state">23%</td><td class="mcd-td col_district">42%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">5%</td><td class="mcd-td col_state">22%</td><td class="mcd-td col_district">43%</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">22%</td><td class="mcd-td col_district">45%</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">21%</td><td class="mcd-td col_district">47%</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">21%</td><td class="mcd-td col_district">48%</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">21%</td><td class="mcd-td col_district">51%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="hispanic_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="hispanic_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="hispanic_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Hispanic_Students_Ethnicity" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Hispanic Student Percentage Comparison Over Years (2007-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 14% | 30% | 44%
2023 | 12% | 29% | 42%
2022 | 12% | 29% | 42%
2021 | 12% | 28% | 42%
2019 | 13% | 27% | 41%
2018 | 12% | 26% | 42%
2017 | 12% | 26% | 42%
2016 | 12% | 26% | 43%
2015 | 10% | 25% | 42%
2014 | 8% | 25% | 41%
2013 | 7% | 24% | 42%
2012 | 6% | 23% | 42%
2011 | 5% | 22% | 43%
2010 | 4% | 22% | 45%
2009 | 3% | 21% | 47%
2008 | 4% | 21% | 48%
2007 | 4% | 21% | 51%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color4">Black</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="3">3%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="15">15%</div>
            </div><div id="black_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="black_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="black_students_ethnicity" id="black_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as Black at P.s. 184 Shuang Wen, versus the percentage of public school students who identify as Black in the New York City Geographic District # 1 and in New York, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Black-Students-Ethnicity-2007-2024"></div>
                <div id="overlay-black_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-black_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="black_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="black_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Black Student Percentage Comparison Over Years (2007-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">14%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">16%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">2%</td><td class="mcd-td col_state">16%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">16%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">16%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">17%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">18%</td><td class="mcd-td col_district">18%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">18%</td><td class="mcd-td col_district">18%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">18%</td><td class="mcd-td col_district">18%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">18%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">18%</td><td class="mcd-td col_district">18%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">19%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">5%</td><td class="mcd-td col_state">19%</td><td class="mcd-td col_district">18%</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">5%</td><td class="mcd-td col_state">19%</td><td class="mcd-td col_district">19%</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">6%</td><td class="mcd-td col_state">20%</td><td class="mcd-td col_district">19%</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">7%</td><td class="mcd-td col_state">19%</td><td class="mcd-td col_district">19%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="black_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="black_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="black_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Black_Students_Ethnicity" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Black Student Percentage Comparison Over Years (2007-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 3% | 16% | 14%
2023 | 3% | 16% | 16%
2022 | 2% | 16% | 17%
2021 | 3% | 17% | 16%
2019 | 4% | 17% | 16%
2018 | 4% | 17% | 17%
2017 | 4% | 17% | 17%
2016 | 3% | 18% | 18%
2015 | 3% | 18% | 18%
2014 | 3% | 18% | 18%
2013 | 4% | 18% | 17%
2012 | 4% | 18% | 18%
2011 | 4% | 19% | 17%
2010 | 5% | 19% | 18%
2009 | 5% | 19% | 19%
2008 | 6% | 20% | 19%
2007 | 7% | 19% | 19%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color5">White</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="8">8%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="40">40%</div>
            </div><div id="white_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="white_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="white_students_ethnicity" id="white_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as White at P.s. 184 Shuang Wen, versus the percentage of public school students who identify as White in the New York City Geographic District # 1 and in New York, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-White-Students-Ethnicity-2007-2024"></div>
                <div id="overlay-white_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-white_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="white_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="white_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">White Student Percentage Comparison Over Years (2007-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">40%</td><td class="mcd-td col_district">16%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">40%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">41%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">41%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">43%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">44%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">44%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">44%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">45%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">46%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">47%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">48%</td><td class="mcd-td col_district">16%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">49%</td><td class="mcd-td col_district">17%</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">51%</td><td class="mcd-td col_district">14%</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">7%</td><td class="mcd-td col_state">51%</td><td class="mcd-td col_district">13%</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">6%</td><td class="mcd-td col_state">51%</td><td class="mcd-td col_district">13%</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">7%</td><td class="mcd-td col_state">52%</td><td class="mcd-td col_district">13%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="white_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="white_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="white_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="White_Students_Ethnicity" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for White Student Percentage Comparison Over Years (2007-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 8% | 40% | 16%
2023 | 8% | 40% | 17%
2022 | 8% | 41% | 17%
2021 | 9% | 41% | 17%
2019 | 8% | 43% | 17%
2018 | 9% | 44% | 17%
2017 | 9% | 44% | 17%
2016 | 9% | 44% | 17%
2015 | 8% | 45% | 17%
2014 | 8% | 46% | 17%
2013 | 9% | 47% | 17%
2012 | 8% | 48% | 16%
2011 | 9% | 49% | 17%
2010 | 8% | 51% | 14%
2009 | 7% | 51% | 13%
2008 | 6% | 51% | 13%
2007 | 7% | 52% | 13%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color6">Hawaiian</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><span class="gray">n/a</span></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class="racial-color racial-color7">Two or more races</div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="11">11%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="4">4%</div>
            </div><div id="two_or_more_races_students_ethnicity_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="two_or_more_races_students_ethnicity_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="two_or_more_races_students_ethnicity" id="two_or_more_races_students_ethnicity_chart_div" aria-label="This chart presents a comparison of the percentage of students who identify as two or more races at P.s. 184 Shuang Wen, versus the percentage of public school students who identify as two or more races in the New York City Geographic District # 1 and in New York, utilizing data collected over several years with the most recent figures pertaining to the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Two-Or-More-Races-Students-Ethnicity-2014-2024"></div>
                <div id="overlay-two_or_more_races_students_ethnicity-sm" class="chart_nav_bar small_device"><a id="data-link-two_or_more_races_students_ethnicity-sm" class="chart_nav_item" data-type="data" data-chart-id="two_or_more_races_students_ethnicity" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="two_or_more_races_students_ethnicity">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Two or More Races Student Percentage Comparison Over Years (2014-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">11%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">5%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">4%</td><td class="mcd-td col_district">5%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">4%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">7%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">4%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">6%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">2%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">2%</td><td class="mcd-td col_district">2%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">2%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">2%</td><td class="mcd-td col_district">1%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">1%</td><td class="mcd-td col_state">1%</td><td class="mcd-td col_district">1%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="two_or_more_races_students_ethnicity" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="two_or_more_races_students_ethnicity" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="two_or_more_races_students_ethnicity" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Two_Or_More_Races_Students_Ethnicity" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Two or More Races Student Percentage Comparison Over Years (2014-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 11% | 3% | 5%
2023 | 9% | 4% | 5%
2022 | 8% | 3% | 4%
2021 | 7% | 3% | 4%
2019 | 6% | 3% | 3%
2018 | 4% | 2% | 2%
2017 | 4% | 2% | 2%
2016 | 4% | 2% | 1%
2015 | 3% | 2% | 1%
2014 | 1% | 1% | 1%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >All Ethnic Groups</div>
                <div class="dt-value-cell chartimg-cell dt-cells-2 "  ><div class="chartdiv" id="school_ethnicity_chart_div" aria-label="This pie chart illustrates the percentage distribution of students across all ethnic groups at P.s. 184 Shuang Wen." data-download-name="Ps-184-Shuang-Wen-School-Ethnicity"></div></div>
                <div class="dt-value-cell chartimg-cell dt-cells-2 "  ><div class="chartdiv" id="state_ethnicity_school_chart_div" aria-label="This pie chart illustrates the percentage distribution of students across all ethnic groups in New York." data-download-name="NY-State-Ethnicity-School"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  ><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The chance that two students selected at random would be members of a different ethnic group. Scored from 0 to 1, a diversity score closer to 1 indicates a more diverse student body.'>Diversity Score</div></div>
                <div class="dt-value-cell  dt-cells-2 "  >0.56</div>
                <div class="dt-value-cell  dt-cells-2 "  ><a href='/diversity-rankings-stats/new-york'>0.72</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="diversity_score" id="diversity_score_chart_div" aria-label="This chart showcases the diversity score of P.s. 184 Shuang Wen, juxtaposed with the average diversity score for public schools in the New York City Geographic District # 1 and New York, utilizing data that spans several years and includes the most recent figures from the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Diversity-Score-2007-2024"></div>
                <div id="overlay-diversity_score-sm" class="chart_nav_bar small_device"><a id="data-link-diversity_score-sm" class="chart_nav_item" data-type="data" data-chart-id="diversity_score" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="diversity_score">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Diversity Score Comparison Over Years (2007-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">0.56</td><td class="mcd-td col_state">0.72</td><td class="mcd-td col_district">0.71</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">0.51</td><td class="mcd-td col_state">0.73</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">0.49</td><td class="mcd-td col_state">0.72</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">0.50</td><td class="mcd-td col_state">0.72</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">0.50</td><td class="mcd-td col_state">0.71</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">0.49</td><td class="mcd-td col_state">0.71</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">0.49</td><td class="mcd-td col_state">0.71</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">0.48</td><td class="mcd-td col_state">0.70</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">0.42</td><td class="mcd-td col_state">0.70</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">0.37</td><td class="mcd-td col_state">0.69</td><td class="mcd-td col_district">0.73</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">0.36</td><td class="mcd-td col_state">0.69</td><td class="mcd-td col_district">0.73</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">0.34</td><td class="mcd-td col_state">0.68</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">0.33</td><td class="mcd-td col_state">0.68</td><td class="mcd-td col_district">0.72</td></tr><tr><td class="mcd-td col_year">2010</td><td class="mcd-td col_school">0.32</td><td class="mcd-td col_state">0.66</td><td class="mcd-td col_district">0.71</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">0.30</td><td class="mcd-td col_state">0.66</td><td class="mcd-td col_district">0.70</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">0.31</td><td class="mcd-td col_state">0.66</td><td class="mcd-td col_district">0.68</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">0.32</td><td class="mcd-td col_state">0.65</td><td class="mcd-td col_district">0.67</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="diversity_score" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="diversity_score" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="diversity_score" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Diversity_Score" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Diversity Score Comparison Over Years (2007-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 0.56 | 0.72 | 0.71
2023 | 0.51 | 0.73 | 0.72
2022 | 0.49 | 0.72 | 0.72
2021 | 0.50 | 0.72 | 0.72
2019 | 0.50 | 0.71 | 0.72
2018 | 0.49 | 0.71 | 0.72
2017 | 0.49 | 0.71 | 0.72
2016 | 0.48 | 0.70 | 0.72
2015 | 0.42 | 0.70 | 0.72
2014 | 0.37 | 0.69 | 0.73
2013 | 0.36 | 0.69 | 0.73
2012 | 0.34 | 0.68 | 0.72
2011 | 0.33 | 0.68 | 0.72
2010 | 0.32 | 0.66 | 0.71
2009 | 0.30 | 0.66 | 0.70
2008 | 0.31 | 0.66 | 0.68
2007 | 0.32 | 0.65 | 0.67

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Participates in the <span class='bubble_text' data-rel='tooltip' role='tooltip' data-tippy-content='The National School Lunch Program (NSLP) is a federally assisted meal program operating in public and nonprofit private schools and residential child care institutions. It provides nutritionally balanced, low-cost or free lunches to children each school day.'>National School Lunch Program (NSLP)</span></div>
                <div class="dt-value-cell  dt-cells-1 "  >Yes</div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Eligible for <span class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='Families meeting income eligibility guidelines may qualify for free and reduced price meals or free milk. These guidelines are used by schools, institutions, and facilities participating in the National School Lunch Program (and Commodity School Program), School Breakfast Program, Special Milk Program for Children, Child and Adult Care Food Program and Summer Food Service Program.'>Free Lunch</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="55">55%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="54">54%</div>
            </div><div id="freelunch_students_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="freelunch_students_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="freelunch_students" id="freelunch_students_chart_div" aria-label="This chart showcases the percentage of students eligible for free lunch at P.s. 184 Shuang Wen, juxtaposed with the average percentage of public school students eligible for free lunch in the New York City Geographic District # 1 and New York, utilizing data that spans several years and includes the most recent figures from the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Freelunch-Students-2007-2024"></div>
                <div id="overlay-freelunch_students-sm" class="chart_nav_bar small_device"><a id="data-link-freelunch_students-sm" class="chart_nav_item" data-type="data" data-chart-id="freelunch_students" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="freelunch_students">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Free Lunch Eligibility Comparison Over Years (2007-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">55%</td><td class="mcd-td col_state">54%</td><td class="mcd-td col_district">66%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">56%</td><td class="mcd-td col_state">53%</td><td class="mcd-td col_district">64%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">58%</td><td class="mcd-td col_state">51%</td><td class="mcd-td col_district">62%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">63%</td><td class="mcd-td col_state">52%</td><td class="mcd-td col_district">63%</td></tr><tr><td class="mcd-td col_year">2020</td><td class="mcd-td col_school">62%</td><td class="mcd-td col_state">50%</td><td class="mcd-td col_district">61%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">63%</td><td class="mcd-td col_state">50%</td><td class="mcd-td col_district">61%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">60%</td><td class="mcd-td col_state">48%</td><td class="mcd-td col_district">57%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">60%</td><td class="mcd-td col_state">48%</td><td class="mcd-td col_district">57%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">61%</td><td class="mcd-td col_state">44%</td><td class="mcd-td col_district">58%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">59%</td><td class="mcd-td col_state">45%</td><td class="mcd-td col_district">58%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">57%</td><td class="mcd-td col_state">42%</td><td class="mcd-td col_district">62%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">58%</td><td class="mcd-td col_state">41%</td><td class="mcd-td col_district">59%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">64%</td><td class="mcd-td col_state">42%</td><td class="mcd-td col_district">60%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">71%</td><td class="mcd-td col_state">41%</td><td class="mcd-td col_district">62%</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">71%</td><td class="mcd-td col_state">37%</td><td class="mcd-td col_district">60%</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">70%</td><td class="mcd-td col_state">36%</td><td class="mcd-td col_district">57%</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">70%</td><td class="mcd-td col_state">36%</td><td class="mcd-td col_district">52%</td></tr></tbody></table> 
                    <div class="nav-downlaod-sec">
                        <div class="nva-download-wrapper">
                            Download Table: <a class="cdw-ndb nav-download-btn" data-chart-id="freelunch_students" data-type="csv" title="Click to download the underlying table data of the chart in CSV format.">Download as CSV</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="freelunch_students" data-type="xml" title="Click to download the underlying table data of the chart in XML format.">Download as XML</a> | <a class="cdw-ndb nav-download-btn" data-chart-id="freelunch_students" data-type="json" title="Click to download the underlying table data of the chart in JSON format.">Download as JSON</a>
                        </div>
                        <div class="nva-download-wrapper">
                            Download Full School Data: <a class="cdw-ndb nav-download-btn-full" data-type="xml" title="Click to download complete underlying table data for all charts associated with this school, presented in XML format.">Full School Dataset XML</a> | <a class="cdw-ndb nav-download-btn-full" data-type="json" title="Click to download complete underlying table data for all charts associated with this school, presented in JSON format.">Full School Dataset JSON</a>
                        </div>
                    </div>
                    <p class="data-privacy-text">Note: Data may not be displayed on any public-facing website or service that replicates or resembles a school search or review portal without prior written permission. See our <a href="https://www.publicschoolreview.com/terms">Terms of Service</a>.</p>
                </div>
            </div>
            <a href="#" class="ai-debug-btn" data-chart-key="Freelunch_Students" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Free Lunch Eligibility Comparison Over Years (2007-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 55% | 54% | 66%
2023 | 56% | 53% | 64%
2022 | 58% | 51% | 62%
2021 | 63% | 52% | 63%
2020 | 62% | 50% | 61%
2019 | 63% | 50% | 61%
2018 | 60% | 48% | 57%
2017 | 60% | 48% | 57%
2016 | 61% | 44% | 58%
2015 | 59% | 45% | 58%
2014 | 57% | 42% | 62%
2013 | 58% | 41% | 59%
2012 | 64% | 42% | 60%
2011 | 71% | 41% | 62%
2009 | 71% | 37% | 60%
2008 | 70% | 36% | 57%
2007 | 70% | 36% | 52%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >Eligible for <span class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='Families meeting income eligibility guidelines may qualify for free and reduced price meals or free milk. These guidelines are used by schools, institutions, and facilities participating in the National School Lunch Program (and Commodity School Program), School Breakfast Program, Special Milk Program for Children, Child and Adult Care Food Program and Summer Food Service Program.'>Reduced Lunch</span></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="4">4%</div>
            </div></div>
                <div class="dt-value-cell  dt-cells-2 "  ><div class="dt-pc-wrapper">
            <div class="dt-pc-left"></div><div class="dt-pc-right"><div class="dt-pc-right-hidden"></div></div>
            <div class="dt-percent-mask" data-percent="3">3%</div>
            </div><div id="reduced_pricelunch_students_toggle_btn" class="toggle-chart-btn" title="Show Historical Data"></div></div>
                </div>
                    </div>
                        <div class="dt-single-row-table">
                    <div class="dt-row chart-row-hidden" id="reduced_pricelunch_students_chart_row" >
                <div class="dt-chart-cell chartimg-cell dt-cells-1 "  >
            <div class="chartdiv_wrapper">
                <div class="chartdiv nav-content-sec active" data-type="chart" data-chart-id="reduced_pricelunch_students" id="reduced_pricelunch_students_chart_div" aria-label="This chart showcases the percentage of students eligible for reduced-price lunch at P.s. 184 Shuang Wen, juxtaposed with the average percentage of public school students eligible for reduced-price lunch in the New York City Geographic District # 1 and New York, utilizing data that spans several years and includes the most recent figures from the 2023-24 school year." data-download-name="Ps-184-Shuang-Wen-Reduced-Pricelunch-Students-2007-2024"></div>
                <div id="overlay-reduced_pricelunch_students-sm" class="chart_nav_bar small_device"><a id="data-link-reduced_pricelunch_students-sm" class="chart_nav_item" data-type="data" data-chart-id="reduced_pricelunch_students" title="Click here to explore the chart's underlying data and analysis.">View Data &amp; Analysis</a></div>
                <div class="nav-content-sec" data-type="data" data-chart-id="reduced_pricelunch_students">
                    <table class="min-chart-datatable mcd-col4"><caption class="bg-mcd-scate-100"><h3 class="mcd-caption-heading">Reduced-Price Lunch Eligibility Comparison Over Years (2007-2024)</h3><thead class="mcd-thead"><tr><th class="mcd-th col_year">Year</th><th class="mcd-th col_school">P.s. 184 Shuang Wen</th><th class="mcd-th col_state">New York</th><th class="mcd-th col_district">New York City Geographic District # 1</th></tr></thead><tbody class="mcd-tbody"><tr><td class="mcd-td col_year">2024</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2023</td><td class="mcd-td col_school">5%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2022</td><td class="mcd-td col_school">5%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2021</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">3%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2020</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">4%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2019</td><td class="mcd-td col_school">5%</td><td class="mcd-td col_state">4%</td><td class="mcd-td col_district">3%</td></tr><tr><td class="mcd-td col_year">2018</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">5%</td></tr><tr><td class="mcd-td col_year">2017</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">5%</td></tr><tr><td class="mcd-td col_year">2016</td><td class="mcd-td col_school">8%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">5%</td></tr><tr><td class="mcd-td col_year">2015</td><td class="mcd-td col_school">9%</td><td class="mcd-td col_state">6%</td><td class="mcd-td col_district">5%</td></tr><tr><td class="mcd-td col_year">2014</td><td class="mcd-td col_school">11%</td><td class="mcd-td col_state">5%</td><td class="mcd-td col_district">5%</td></tr><tr><td class="mcd-td col_year">2013</td><td class="mcd-td col_school">11%</td><td class="mcd-td col_state">7%</td><td class="mcd-td col_district">7%</td></tr><tr><td class="mcd-td col_year">2012</td><td class="mcd-td col_school">7%</td><td class="mcd-td col_state">7%</td><td class="mcd-td col_district">6%</td></tr><tr><td class="mcd-td col_year">2011</td><td class="mcd-td col_school">3%</td><td class="mcd-td col_state">7%</td><td class="mcd-td col_district">6%</td></tr><tr><td class="mcd-td col_year">2009</td><td class="mcd-td col_school">4%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">8%</td></tr><tr><td class="mcd-td col_year">2008</td><td class="mcd-td col_school">7%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">8%</td></tr><tr><td class="mcd-td col_year">2007</td><td class="mcd-td col_school">5%</td><td class="mcd-td col_state">8%</td><td class="mcd-td col_district">7%</td></tr></tbody></table> 
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            <a href="#" class="ai-debug-btn" data-chart-key="Reduced_Pricelunch_Students" data-entity-id="360007603508" data-prompt="[SYSTEM]
You are a data analyst writing a concise, high-signal insight for a school profile chart.

[USER]
Given the following data for Reduced-Price Lunch Eligibility Comparison Over Years (2007-2024) at P.s. 184 Shuang Wen:
year | school | state | district
2024 | 4% | 3% | 3%
2023 | 5% | 3% | 3%
2022 | 5% | 3% | 3%
2021 | 4% | 3% | 3%
2020 | 4% | 4% | 3%
2019 | 5% | 4% | 3%
2018 | 8% | 5% | 5%
2017 | 8% | 5% | 5%
2016 | 8% | 5% | 5%
2015 | 9% | 6% | 5%
2014 | 11% | 5% | 5%
2013 | 11% | 7% | 7%
2012 | 7% | 7% | 6%
2011 | 3% | 7% | 6%
2009 | 4% | 8% | 8%
2008 | 7% | 8% | 8%
2007 | 5% | 8% | 7%

Your task is to identify the single most important takeaway, prioritizing recent trend signals (last 1–3 years) while anchoring them within the long-term trajectory and relative performance vs district/state.

Respond with ONLY a JSON object in this exact format:
{
  &quot;notable&quot;: true or false,
  &quot;sentiment&quot;: &quot;positive&quot; or &quot;negative&quot; or &quot;neutral&quot;,
  &quot;summary&quot;: &quot;your 1-2 sentence summary here&quot;
}

MANDATORY ANALYSIS ORDER (strict priority):

1. RECENT TREND (PRIMARY SIGNAL)
- Focus on the most recent 1–3 years.
- Identify:
    - clear inflection (reversal vs prior trend)
    - acceleration or deceleration
    - sharp movement (≥5 percentage points)
- Determine whether this recent movement confirms, contradicts, or changes the long-term trend.
- This is the default headline driver unless insignificant.

2. LONG-TERM TREND (ANCHOR)
- Evaluate full time range (earliest → latest).
- Calculate total change.
- Classify:
    - sustained increase
    - sustained decrease
    - stable
    - volatile / mixed
- Explicitly state whether the recent trend is: 
    - continuation
    - weakening
    - reversal
    - noise

3. RELATIVE POSITIONING (CRITICAL)
- Compare school vs district/state/other:
    - latest gap (current level difference)
    - gap trend over time (widening / narrowing)
    - directional alignment:
        - same direction (faster/slower)
        - diverging (opposite or breaking away)
- Prioritize divergence signals over absolute differences.

4. TREND INTERACTION (HIGH VALUE)
- Explicitly determine one:
    - converging toward district/state
    - diverging away
    - consistently outperforming
    - consistently underperforming
- If divergence exists, quantify the gap change.

5. SIGNIFICANCE FILTER
- Select the single most important insight based on:
    - Recent inflection or acceleration (highest priority)
    - Sustained long-term movement
    - Meaningful divergence vs comparison lines (≥5 point gap change)
    - Large absolute movement
If no meaningful signal exists, return notable=false.

INTERPRETATION RULES:
- Treat the school as primary.
- Recent trend overrides long-term ONLY if it materially changes the trajectory.
- Always connect recent trend → long-term context → relative positioning.
- Do NOT infer causes.
- Do NOT approximate or guess.

Rules for &quot;notable&quot;:
Set true only if at least one is present:
- ≥5 point change in last 1–3 years
- Clear inflection or reversal
- ≥20 point long-term change
- Sustained directional trend
- ≥5 point gap change vs district/state
Otherwise set false.

Rules for &quot;sentiment&quot;:
- &quot;positive&quot; = improving direction or improving relative position
- &quot;negative&quot; = worsening direction or worsening relative position
- &quot;neutral&quot; = mixed, flat, or unclear

Rules for &quot;summary&quot;:
- 1–2 sentences, max 40 words 
- Start with the most important quantified change in **bold** (like this)
- Lead with recent trend IF it is meaningful; otherwise lead with long-term
- Must include one of:
    - direction of change
    - magnitude
    - timeframe
- Include comparison ONLY if it strengthens the insight
- Preferred constructions:
    - &quot;reversed from X trend to Y in recent years&quot;
    - &quot;declined sharply in recent years after long-term stability&quot;
    - &quot;continued long-term growth but is now diverging from district&quot;
    - &quot;recent gains narrowed the gap vs district from X to Y&quot;
- Do NOT mention methodology
- Do NOT restate chart visuals without interpretation
- Do NOT begin with the school name
- If notable=false, summary may be &quot;&quot;

Return only the JSON object. No preamble." data-response="(no response stored yet)">View AI Prompt</a></div>
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                    <div class="dt-row dt-single-row"  >
                <div class="dt-name-cell "  >School Statewide Testing</div>
                <div class="dt-value-cell  dt-cells-1 "  ><a href="https://infohub.nyced.org/reports-and-policies/citywide-information-and-data/test-results" target="_blank">View Education Department Test Scores</a></div>
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                <div class="dt-name-cell "  >School District Name</div>
                <div class="dt-value-cell  dt-cells-1 "  ><a href='/new-york/new-york-city-geographic-district-1/3600076-school-district'>New York City Geographic District # 1</a></div>
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        <div class='so-dt-source-wrapper'>Source: National Center for Education Statistics (NCES), NY Dept. of Education</div>            <div class='large-btn-wrapper'>
                <a href="/p-s-184-shuang-wen-profile/request-info" class="large-btn ib-btn-large-request" ><div class="large-btn-icon-wrapper icon-large-request"></div>REQUEST FREE INFORMATION</a>
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            <h2 class='so-dt-title' id='faq'>Frequently Asked Questions</h2>                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What is P.s. 184 Shuang Wen's ranking?</div></summary>
                    <div class="faq-question">P.s. 184 Shuang Wen is ranked #353 out of 4,346 schools, which ranks it among the top 10% of public schools in New York.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What schools are P.s. 184 Shuang Wen often compared to?</div></summary>
                    <div class="faq-question">P.s. 184 Shuang Wenis often viewed alongside schools like <a href='/p-s-124-yung-wing-profile'>P.s. 124 Yung Wing</a> by visitors of our site.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What percent of students have achieved state testing proficiency in math and reading?</div></summary>
                    <div class="faq-question">85% of students have achieved math proficiency (compared to the 52% NY state average), while 75% of students have achieved reading proficiency (compared to the 49% NY state average). </div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">How many students attend P.s. 184 Shuang Wen?</div></summary>
                    <div class="faq-question">734 students attend P.s. 184 Shuang Wen.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What is the racial composition of the student body?</div></summary>
                    <div class="faq-question">64% of P.s. 184 Shuang Wen students are Asian, 14% of students are Hispanic, 11% of students are Two or more races, 8% of students are White, and 3% of students are Black.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What is the student-teacher ratio of P.s. 184 Shuang Wen?</div></summary>
                    <div class="faq-question">P.s. 184 Shuang Wen has a student ration of 16:1, which is higher than the New York state average of 11:1.</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What grades does P.s. 184 Shuang Wen offer ?</div></summary>
                    <div class="faq-question">P.s. 184 Shuang Wen offers enrollment in grades Prekindergarten-8 (Supplemental virtual).</div>
                </details>
                                <details class="faq-details">
                    <summary class="faq-accordion"><div class="faq-title">What school district is P.s. 184 Shuang Wen part of? </div></summary>
                    <div class="faq-question">P.s. 184 Shuang Wen is part of <a href='/new-york/new-york-city-geographic-district-1/3600076-school-district'>New York City Geographic District # 1</a>.</div>
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                                        <h2 class="so-dt-title" id="nearby-public-schools">Nearby Public Schools</h2>
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                    Popular comparisons: <a href='https://sharan.test.publicschoolreview.com/popular-comparisons/p-s-184-shuang-wen-vs-p-s-124-yung-wing/57153/56719'>P.s. 184 Shuang Wen vs. P.s. 124 Yung Wing</a>                    </div>
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                    The nearest high school and middle school to P.s.&nbsp;184 Shuang Wen is <a class='rs-school-link' href='/center-for-lifelong-learning-profile'>Center For Lifelong Learning</a> (9,359.1 miles away)                    </div>
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                    The nearest elementary school is <a class='rs-school-link' href='/woodrow-wilson-elementary-school-profile/08872'>Woodrow Wilson Elementary School</a> (9,358.9 miles away)                    </div>
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                <div class="tp-list-column column1">School<BR><span class="tpl-head-row-subtitle">(Math and Reading Proficiency)</span></div>
                <div class="tp-list-column column2">Location</div>
                <div class="tp-list-column column3">Miles</div>
                <div class="tp-list-column column4">Quick Facts</div>
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                    <div class="tp-list-row list-row-border-2 bg_hover_change ">
                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/woodrow-wilson-elementary-school-profile/08872'>Woodrow Wilson Elementary School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 55-59% | Reading: 35-39%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="New Jersey" data-rank-score="6" data-rank-perc="top 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-6">6/<div class="total-rank-score">10</div></div>  Top 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="53007" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">65 Dane Street<BR>Sayreville, NJ 08872<BR>(732) 525-5240</div>
        <div class="tp-list-column column3">9358.9<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>PK-3 | 396 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>13:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>58%</span></span></div>
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                <div class="tp-list-row list-row-border-2 bg_hover_change ">
                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/center-for-lifelong-learning-profile'>Center For Lifelong Learning</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><span class='tpl-type-desc-1'>Special Education School</span></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="137707" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">333 Cheesequake Rd<BR>Parlin, NJ 08859<BR>(732) 727-3736</div>
        <div class="tp-list-column column3">9359.1<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>PK-12 | 197 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>25:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>78%</span></span></div>
                </div>
                <div class="tp-list-row list-row-border-2 bg_hover_change ">
                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/madison-park-elementary-school-profile/08859'>Madison Park Elementary School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 50-54% | Reading: 50-54%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="New Jersey" data-rank-score="7" data-rank-perc="top 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-7">7/<div class="total-rank-score">10</div></div>  Top 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="52240" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">33 Harvard Rd<BR>Parlin, NJ 08859<BR>(732) 360-4485</div>
        <div class="tp-list-column column3">9359.3<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>K-5 | 294 students</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>9:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>61%</span></span></div>
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                <div class="tp-list-row list-row-border-2 bg_hover_change dpo-xmsd-none">
                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/sayreville-middle-school-profile'>Sayreville Middle School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 30% | Reading: 52%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="New Jersey" data-rank-score="5" data-rank-perc="bottom 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-5">5/<div class="total-rank-score">10</div></div>  Bottom 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="53003" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">800 Washington Road<BR>Parlin, NJ 08859<BR>(732) 525-5290</div>
        <div class="tp-list-column column3">9359.3<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>6-8 | 1,335 student</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>11:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>62%</span></span></div>
                </div>
                <div class="tp-list-row list-row-border-2 bg_hover_change dpo-xmsd-none">
                    <div class="tp-list-column column1"><div class="tpl-school-detail"><a class='tpl-school-link' href='/sayreville-war-memorial-high-school-profile'>Sayreville War Memorial High School</a> <div class="tpl-thumb-desc-wrapper"><div class="tpl-desc-wrapper"><div class="tpl-rank-desc">(Math: 16% | Reading: 56%) <BR> <span class="bubble_text" data-rel="tooltip" role="tooltip" data-tootip-group="table-list" data-state-name="New Jersey" data-rank-score="4" data-rank-perc="bottom 50%"  >Rank</span>: <div class="rank-score-cnt rank-color-5">4/<div class="total-rank-score">10</div></div>  Bottom 50%</div></div></div> <div class="tpl-cmp-wrapper"><input type="checkbox" class="custom-checkbox tpl-cmp-checkbox" name="cmp-schools[]" value="53002" autocomplete="off"><label class="custom-checkbox-text tpl-cmp-text ">Add to Compare</label></div><div class="clear-f"></div></div></div>
        <div class="tp-list-column column2">820 Washington Road<BR>Parlin, NJ 08859<BR>(732) 525-5252</div>
        <div class="tp-list-column column3">9359.3<span class="dpo-xsmd-inline"> miles</span></div>
        <div class="tp-list-column column4"><span class="tpl-cqf-list"><span class="tpl-cqf-row"><span class="tpl-cqf-title">Gr: </span>9-12 | 1,763 student</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Student-teacher ratio: </span>13:1</span> <span class="tpl-cqf-row"><span class="tpl-cqf-title">Minority enrollment: </span>64%</span></span></div>
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            <p>Review P.s. 184 Shuang Wen. Reviews should be a few sentences in length. Please include any comments on: </p>
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                                    <li class="review-note-item"><span class="rni-dot-wrapper"><span class="rni-dot"></span></span><span class="rni-text">Quality of academic programs, teachers, and facilities</span></li>
                                        <li class="review-note-item"><span class="rni-dot-wrapper"><span class="rni-dot"></span></span><span class="rni-text">Availability of music, art, sports and other extracurricular activities</span></li>
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                                    <li class="quick-stats-li quick-stats-text">Grades: <strong class="">Prekindergarten-8</strong></li>
                                        <li class="quick-stats-li quick-stats-text">Enrollment: <strong class="">734 students</strong></li>
                                        <li class="quick-stats-li quick-stats-text">Student-Teacher Ratio: <strong class="">16:1</strong></li>
                                        <li class="quick-stats-li quick-stats-text">Minority Enrollment: <strong class="">92%</strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='Overall testing rank is based on a school&#39;s combined math and reading proficiency test scores for the 2022-23 school year (latest year available). Rank is calculated based on schools within a particular state only.'>Overall Testing Rank</div>: <strong class="">Top 10%</strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in math for the 2022-23 school year (latest year available), as designated by New York and its state tests.'>Math Proficiency</div>: <strong class="">85% <span class='rank_description_text'>(Top 10%)</span></strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in reading/language arts for the 2021-22 school year (latest year available), as designated by New York and its state tests.'>Reading Proficiency</div>: <strong class="">75% <span class='rank_description_text'>(Top 20%)</span></strong></li>
                                        <li class="quick-stats-li quick-stats-text"><div class='bubble_text'  data-rel='tooltip' role='tooltip' data-tippy-content='The percentage of students in this school that scored at or above &#39;proficient&#39; levels in science for the 2021-22 school year (latest year available), as designated by New York and its state tests.'>Science Proficiency</div>: <strong class="">&ge;95% <span class='rank_description_text'>(Top 5%)</span></strong></li>
                                        <li class="quick-stats-li quick-stats-text">Source: <strong class="qsl-source-val">National Center for Education Statistics (NCES), NY Dept. of Education</strong></li>
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                    <H2 class="sec-header-title">Request Information</H2>                </div>
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        <form method="POST" action="/p-s-184-shuang-wen-profile" accept-charset="UTF-8" name="std-ril-form" id="std-ril-form" class="std-form std-ril-form std-narrow-form std-ril-narrow-form">        <div class="form-group std-form-group">
            <label for="email" class="form-label std-label">Email:</label><input id="email" class="form-control std-input" size="23" autocomplete ="off" name="email" type="email" value="">            <span class="std-validate-icon  invalid-icon " id="email_validate"></span>
            <span class="std-validate-msg" id="email_msg"></span>
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                <div class="form-group std-form-group">
            <label for="guardian_name" class="form-label std-label">Name of parent:</label><input id="guardian_name" class="form-control std-input" size="23" autocomplete ="off" name="guardian_name" type="text" value="">            <span class="std-validate-icon  invalid-icon " id="guardian_name_validate"></span>
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                <div class="form-group std-form-group">
            <label for="student_first_name" class="form-label std-label">Student first name:</label><input id="student_first_name" class="form-control std-input" size="23" autocomplete ="off" name="student_first_name" type="text" value="">            <span class="std-validate-icon  invalid-icon " id="student_first_name_validate"></span>
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            <label for="student_last_name" class="form-label std-label">Student last name:</label><input id="student_last_name" class="form-control std-input" size="23" autocomplete ="off" name="student_last_name" type="text" value="">            <span class="std-validate-icon  invalid-icon " id="student_last_name_validate"></span>
            <span class="std-validate-msg" id="student_last_name_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="birth_month" class="form-label std-label">Student date of birth:</label><select id="birth_month" class="form-control std-opt std-month-opt" autocomplete ="off" name="birth_month"><option value="" selected="selected">Month</option> <option value="1" >January</option> <option value="2" >February</option> <option value="3" >March</option> <option value="4" >April</option> <option value="5" >May</option> <option value="6" >June</option> <option value="7" >July</option> <option value="8" >August</option> <option value="9" >September</option> <option value="10" >October</option> <option value="11" >November</option> <option value="12" >December</option></select><select id="birth_date" class="form-control std-opt std-day-opt" autocomplete ="off" name="birth_date"><option value="" selected="selected">Day</option> <option value="1" >1</option> <option value="2" >2</option> <option value="3" >3</option> <option value="4" >4</option> <option value="5" >5</option> <option value="6" >6</option> <option value="7" >7</option> <option value="8" >8</option> <option value="9" >9</option> <option value="10" >10</option> <option value="11" >11</option> <option value="12" >12</option> <option value="13" >13</option> <option value="14" >14</option> <option value="15" >15</option> <option value="16" >16</option> <option value="17" >17</option> <option value="18" >18</option> <option value="19" >19</option> <option value="20" >20</option> <option value="21" >21</option> <option value="22" >22</option> <option value="23" >23</option> <option value="24" >24</option> <option value="25" >25</option> <option value="26" >26</option> <option value="27" >27</option> <option value="28" >28</option> <option value="29" >29</option> <option value="30" >30</option> <option value="31" >31</option></select><select id="birth_year" class="form-control std-opt std-year-opt" autocomplete ="off" name="birth_year"><option value="" selected="selected">Year</option> <option value="2006" >2006</option> <option value="2007" >2007</option> <option value="2008" >2008</option> <option value="2009" >2009</option> <option value="2010" >2010</option> <option value="2011" >2011</option> <option value="2012" >2012</option> <option value="2013" >2013</option> <option value="2014" >2014</option> <option value="2015" >2015</option> <option value="2016" >2016</option> <option value="2017" >2017</option> <option value="2018" >2018</option> <option value="2019" >2019</option> <option value="2020" >2020</option> <option value="2021" >2021</option> <option value="2022" >2022</option> <option value="2023" >2023</option> <option value="2024" >2024</option> <option value="2025" >2025</option> <option value="2026" >2026</option></select>            <span class="std-validate-icon  invalid-icon " id="birthday_validate"></span>
            <span class="std-validate-msg" id="birthday_msg"></span>
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                <div class="std-radio-group std-gender-radio-group">
                    <input class="form-control std-radio" id="student_gender_male" name="student_gender" type="radio" value="male"><label for="student_gender_male" class="form-label std-radio-label">Male</label>                </div>
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                    <input class="form-control std-radio" id="student_gender_female" name="student_gender" type="radio" value="female"><label for="student_gender_female" class="form-label std-radio-label">Female</label>                </div>
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            <span class="std-validate-icon  invalid-icon " id="student_gender_validate"></span>
            <span class="std-validate-msg" id="student_gender_msg"></span>
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                <div class="form-group std-form-group">
            <label for="current_grade" class="form-label std-label">Currently in grade:</label><select id="current_grade" class="form-control std-opt std-grade-opt" autocomplete ="off" name="current_grade"><option value="Nursery">Nursery</option> <option value="Pre-K">Pre-K</option> <option value="Gr.K">Gr.K</option> <option value="1">1</option> <option value="2">2</option> <option value="3">3</option> <option value="4">4</option> <option value="5">5</option> <option value="6">6</option> <option value="7">7</option> <option value="8" selected="selected">8</option> <option value="9">9</option> <option value="10">10</option> <option value="11">11</option> <option value="12">12</option></select>            <span class="std-validate-icon valid-icon" id="current_grade_validate"></span>
            <span class="std-validate-msg" id="current_grade_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="seeking_grade" class="form-label std-label">Seeking entry for grade:</label><select id="seeking_grade" class="form-control std-grade-opt std-opt" autocomplete ="off" name="seeking_grade"><option value="Nursery">Nursery</option> <option value="Pre-K">Pre-K</option> <option value="Gr.K">Gr.K</option> <option value="1">1</option> <option value="2">2</option> <option value="3">3</option> <option value="4">4</option> <option value="5">5</option> <option value="6">6</option> <option value="7">7</option> <option value="8">8</option> <option value="9" selected="selected">9</option> <option value="10">10</option> <option value="11">11</option> <option value="12">12</option></select>            <span class="std-validate-icon valid-icon" id="seeking_grade_validate"></span>
            <span class="std-validate-msg" id="seeking_grade_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="seeking_season" class="form-label std-label">Target start date:</label><select id="seeking_season" class="form-control std-opt std-season-opt " autocomplete ="off" name="seeking_season"><option value="Fall" selected="selected">Fall</option> <option value="Spring">Spring</option> <option value="Summer">Summer</option> <option value="Immediately">Immediately</option></select><select id="seeking_year" class="form-control std-opt std-season-year-opt" autocomplete ="off" name="seeking_year"><option value="2026" selected="selected">2026</option> <option value="2027">2027</option> <option value="2028">2028</option> <option value="2029">2029</option> <option value="2030">2030</option> <option value="2031">2031</option></select>            <span class="std-validate-icon valid-icon" id="start_date_validate"></span>
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        </div>
                <div class="form-group std-form-group">
            <label for="description" class="form-label std-label std-desciption-label">Please briefly describe academic, athletic, and extracurricular interests of the student:</label><textarea id="description" class="form-control std-textarea std-description-textarea" cols="30" rows="3" autocomplete ="off" name="description"></textarea>            <span class="std-validate-icon  invalid-icon " id="description_validate"></span>
            <span class="std-validate-msg" id="description_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="student_address" class="form-label std-label">Home address:</label><input id="student_address" class="form-control std-input" size="23" autocomplete ="off" name="student_address" type="text" value="">            <span class="std-validate-icon  invalid-icon " id="student_address_validate"></span>
            <span class="std-validate-msg" id="student_address_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="student_city" class="form-label std-label">City:</label><input id="student_city" class="form-control std-input" size="23" autocomplete ="off" name="student_city" type="text" value="">            <span class="std-validate-icon  invalid-icon " id="student_city_validate"></span>
            <span class="std-validate-msg" id="student_city_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="student_country" class="form-label std-label">Country:</label><select id="student_country" class="form-control std-opt std-country-opt" autocomplete ="off" name="student_country"><option value="Afghanistan">Afghanistan</option> <option value="Albania">Albania</option> <option value="Algeria">Algeria</option> <option value="Antigua and Barbuda">Antigua and Barbuda</option> <option value="Argentina">Argentina</option> <option value="Australia">Australia</option> <option value="Austria">Austria</option> <option value="Azerbaijan">Azerbaijan</option> <option value="Bahamas">Bahamas</option> <option value="Bahrain">Bahrain</option> <option value="Bangladesh">Bangladesh</option> <option value="Barbados">Barbados</option> <option value="Belgium">Belgium</option> <option value="Belize">Belize</option> <option value="Bermuda">Bermuda</option> <option value="Bolivia">Bolivia</option> <option value="Bosnia-Herzegowina">Bosnia-Herzegowina</option> <option value="Botswana">Botswana</option> <option value="Brazil">Brazil</option> <option value="Brunei Darussalam">Brunei Darussalam</option> <option value="Bulgaria">Bulgaria</option> <option value="Burma">Burma</option> <option value="Cameroon">Cameroon</option> <option value="Canada">Canada</option> <option value="Cayman Islands">Cayman Islands</option> <option value="Chile">Chile</option> <option value="China">China</option> <option value="Colombia">Colombia</option> <option value="Costa Rica">Costa Rica</option> <option value="Croatia">Croatia</option> <option value="Cyprus">Cyprus</option> <option value="Czech Republic">Czech Republic</option> <option value="Czechia">Czechia</option> <option value="Denmark">Denmark</option> <option value="Dominican Republic">Dominican Republic</option> <option value="Ecuador">Ecuador</option> <option value="Egypt">Egypt</option> <option value="El Salvador">El Salvador</option> <option value="England">England</option> <option value="Estonia">Estonia</option> <option value="Ethiopia">Ethiopia</option> <option value="Finland">Finland</option> <option value="France">France</option> <option value="Germany">Germany</option> <option value="Ghana">Ghana</option> <option value="Greece">Greece</option> <option value="Guam">Guam</option> <option value="Guatemala">Guatemala</option> <option value="Haiti">Haiti</option> <option value="Honduras">Honduras</option> <option value="Hong Kong">Hong Kong</option> <option value="Hungary">Hungary</option> <option value="Iceland">Iceland</option> <option value="India">India</option> <option value="Indonesia">Indonesia</option> <option value="Iran">Iran</option> <option value="Ireland">Ireland</option> <option value="Israel">Israel</option> <option value="Italy">Italy</option> <option value="Jamaica">Jamaica</option> <option value="Japan">Japan</option> <option value="Jordan">Jordan</option> <option value="Kazakhstan">Kazakhstan</option> <option value="Kenya">Kenya</option> <option value="Kuwait">Kuwait</option> <option value="Kyrgyzstan">Kyrgyzstan</option> <option value="Latvia">Latvia</option> <option value="Lebanon">Lebanon</option> <option value="Liechtenstein">Liechtenstein</option> <option value="Lithuania">Lithuania</option> <option value="Luxembourg">Luxembourg</option> <option value="Macau">Macau</option> <option value="Macedonia">Macedonia</option> <option value="Malaysia">Malaysia</option> <option value="Maldives">Maldives</option> <option value="Malta">Malta</option> <option value="Mauritius">Mauritius</option> <option value="Mexico">Mexico</option> <option value="Monaco">Monaco</option> <option value="Mongolia">Mongolia</option> <option value="Morocco">Morocco</option> <option value="Namibia">Namibia</option> <option value="Nepal">Nepal</option> <option value="Netherlands">Netherlands</option> <option value="New Zealand">New Zealand</option> <option value="Nicaragua">Nicaragua</option> <option value="Niger">Niger</option> <option value="Nigeria">Nigeria</option> <option value="Norway">Norway</option> <option value="Oman">Oman</option> <option value="Pakistan">Pakistan</option> <option value="Panama">Panama</option> <option value="Papau New Guinea">Papau New Guinea</option> <option value="Paraguay">Paraguay</option> <option value="Peru">Peru</option> <option value="Philippines">Philippines</option> <option value="Poland">Poland</option> <option value="Portugal">Portugal</option> <option value="Puerto Rico">Puerto Rico</option> <option value="Qatar">Qatar</option> <option value="Romania">Romania</option> <option value="Russia">Russia</option> <option value="Rwanda">Rwanda</option> <option value="Saudi Arabia">Saudi Arabia</option> <option value="Senegal">Senegal</option> <option value="Serbia">Serbia</option> <option value="Singapore">Singapore</option> <option value="Slovakia">Slovakia</option> <option value="Slovenia">Slovenia</option> <option value="Somalia">Somalia</option> <option value="South Africa">South Africa</option> <option value="South Korea">South Korea</option> <option value="Spain">Spain</option> <option value="Sri Lanka">Sri Lanka</option> <option value="Sweden">Sweden</option> <option value="Switzerland">Switzerland</option> <option value="Taiwan">Taiwan</option> <option value="Tanzania">Tanzania</option> <option value="Thailand">Thailand</option> <option value="Trinidad &amp; Tobago">Trinidad &amp; Tobago</option> <option value="Turkey">Turkey</option> <option value="Uganda">Uganda</option> <option value="Ukraine">Ukraine</option> <option value="United Arab Emirates">United Arab Emirates</option> <option value="United Kingdom">United Kingdom</option> <option value="United States of America" selected="selected">United States of America</option> <option value="Uruguay">Uruguay</option> <option value="Venezuela">Venezuela</option> <option value="Vietnam">Vietnam</option> <option value="Zambia">Zambia</option> <option value="Zimbabwe">Zimbabwe</option></select>            <span class="std-validate-icon valid-icon" id="student_country_validate"></span>
            <span class="std-validate-msg" id="student_country_msg"></span>
        </div>
                <div class="form-group std-form-group std-student-state-form-group active" >
            <label for="student_state" class="form-label std-label">State:</label><select id="student_state" class="form-control std-opt std-state-opt" autocomplete ="off" name="student_state"><option value="" selected="selected">Select State</option> <option value="AK">Alaska</option> <option value="AL">Alabama</option> <option value="AR">Arkansas</option> <option value="AZ">Arizona</option> <option value="AS">American Samoa</option> <option value="CA">California</option> <option value="CO">Colorado</option> <option value="CT">Connecticut</option> <option value="DC">DC, Washington</option> <option value="DE">Delaware</option> <option value="FL">Florida</option> <option value="FM">Federated States of Micronesia</option> <option value="GA">Georgia</option> <option value="GU">Guam</option> <option value="HI">Hawaii</option> <option value="IA">Iowa</option> <option value="ID">Idaho</option> <option value="IL">Illinois</option> <option value="IN">Indiana</option> <option value="KS">Kansas</option> <option value="KY">Kentucky</option> <option value="LA">Louisiana</option> <option value="MA">Massachusetts</option> <option value="MD">Maryland</option> <option value="ME">Maine</option> <option value="MH">Marshall Islands</option> <option value="MI">Michigan</option> <option value="MN">Minnesota</option> <option value="MO">Missouri</option> <option value="MS">Mississippi</option> <option value="MT">Montana</option> <option value="NC">North Carolina</option> <option value="ND">North Dakota</option> <option value="NE">Nebraska</option> <option value="NH">New Hampshire</option> <option value="NJ">New Jersey</option> <option value="NM">New Mexico</option> <option value="NV">Nevada</option> <option value="NY">New York</option> <option value="MP">Northern Mariana Islands</option> <option value="OH">Ohio</option> <option value="OK">Oklahoma</option> <option value="OR">Oregon</option> <option value="PA">Pennsylvania</option> <option value="PR">Puerto Rico</option> <option value="PW">Palau</option> <option value="RI">Rhode Island</option> <option value="SC">South Carolina</option> <option value="SD">South Dakota</option> <option value="TN">Tennessee</option> <option value="TX">Texas</option> <option value="UT">Utah</option> <option value="VT">Vermont</option> <option value="VA">Virginia</option> <option value="VI">Virgin Islands</option> <option value="WA">Washington</option> <option value="WI">Wisconsin</option> <option value="WV">West Virginia</option> <option value="WY">Wyoming</option></select>            <span class="std-validate-icon  invalid-icon " id="student_state_validate"></span>
            <span class="std-validate-msg" id="student_state_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="student_zip" class="form-label std-label">Zip:</label><input id="student_zip" class="form-control std-input" size="23" autocomplete ="off" name="student_zip" type="text" value="">            <span class="std-validate-icon  invalid-icon " id="student_zip_validate"></span>
            <span class="std-validate-msg" id="student_zip_msg"></span>
            <label for="student_zip" class="std-notify-label input-std-notify-label"><em>(enter "N/A" if not applicable)</em></label>
        </div>
                <div class="form-group std-form-group">
            <label for="student_phone" class="form-label std-label">Phone:</label><input id="student_phone" class="form-control std-input" size="23" autocomplete ="off" name="student_phone" type="text" value="">            <span class="std-validate-icon  invalid-icon " id="student_phone_validate"></span>
            <span class="std-validate-msg" id="student_phone_msg"></span>
        </div>
                <div class="form-group std-form-group std-form-share-group std-checkbox-form-group" >
            <label class="std-custom-checkbox-wrapper" for="share_profile">
                <input class="form-control std-checkbox std-custom-checkbox" id="share_profile" name="share_profile" type="checkbox" value="share_profile">            </label>
            <label for="share_profile" class="form-label std-label std-checkbox-label"><strong>Allow other schools to send me information. </strong> Share your information with all schools on our site and let them send you brochures.</label>        </div>
                <div class="form-group std-form-group std-form-save-group std-checkbox-form-group">
            <label class="std-custom-checkbox-wrapper" for="save_profile">
                <input class="form-control std-checkbox std-custom-checkbox" id="save_profile" name="save_profile" type="checkbox" value="save_profile">            </label>
            <label for="save_profile" class="form-label std-label std-checkbox-label"><strong>Save this data and create your user profile.</strong> Create your own user account so you don't have to re-type your user data each time you request information. You'll also be able to track your information requests, get reminded of application dates, and more!</label>        </div>
                    <div class="save-profile-wrapper">
                        <div class="form-group std-form-group">
            <label for="student_username" class="form-label std-label">Username:</label><input id="student_username" class="form-control std-input" size="23" autocomplete ="off" name="student_username" type="text" value="">            <span class="std-validate-icon invalid-icon" id="student_username_validate"></span>
            <span class="std-validate-msg" id="student_username_msg"></span>
        </div>
                <div class="form-group std-form-group">
            <label for="student_password" class="form-label std-label">Password:</label><input id="student_password" class="form-control std-input" size="23" autocomplete ="off" name="student_password" type="password" value="">            <span class="std-validate-icon invalid-icon" id="student_password_validate"></span>
            <span class="std-validate-msg" id="student_password_msg"></span>
        </div>
                    </div>
                    <div class="std-submit-wrapper">
            <input name="postback" type="hidden" value="1"><input name="spam_trap" type="hidden" value=""><input name="school_id" type="hidden" value="57153"><input name="your_u_name" type="hidden" value=""><button name="std-ril-submit" id="std-ril-submit" class="submit std-ri-submit std-ril-submit" type="button">REQUEST INFO</button>        </div>
        <div class="duplicate-inquiry-validate-msg"></div>
        </form>                </div>
            </section>
                        <section   class="section-wrapper sec-school-videos">
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                <a href="https://www.youtube.com/watch/sRszyoYdTmo" class="vt-link" rel="nofollow" target="_blank">
                    <img  data-src="https://i.ytimg.com/vi/sRszyoYdTmo/0.jpg" title="http://kenexcellence.com/
Kenexcellence is an upcoming education website. Doubling as a student social network with a newsfeed and messenger, the stats, location, and features of any elementary school to university will be accessible. We also present educational tutorials for every course and standardized test. This is our educational future." alt="P.S. 184 Shuang Wen School" loading="lazy" class="vt-image lazyload" width="306" height="230">
                    <noscript><img  src="https://i.ytimg.com/vi/sRszyoYdTmo/0.jpg" title="http://kenexcellence.com/
Kenexcellence is an upcoming education website. Doubling as a student social network with a newsfeed and messenger, the stats, location, and features of any elementary school to university will be accessible. We also present educational tutorials for every course and standardized test. This is our educational future." alt="P.S. 184 Shuang Wen School" class="vt-image" width="306" height="230"></noscript>
                </a>
                <span class="vt-duration">0:14</span>
            </div>
            <p class="video-thumb-title ">
                <a href="https://www.youtube.com/watch/sRszyoYdTmo" class="vt-link" rel="nofollow" target="_blank" >P.S. 184 Shuang Wen School</a>
            </p>
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            <p class='vl-view-more'><a target='_BLANK' href='https://www.youtube.com/results?search_query=%27P.s.+184+Shuang+Wen%27'>View more school videos</a></p>                </div>
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                        <section   class="section-wrapper sec-related-news">
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                        <li class='rss-item'>        <a class='rss-item-link' href='https://www.amny.com/news/new-chinatown-school-playground-designed-with-storm-resiliency-in-mind/' title='New Chinatown school playground designed with storm resiliency in mind (2019)' target='_blank'>New Chinatown school playground designed with storm resiliency in mind (2019)</a><br/>
        The new $1.7 million playground, located in the rear of PS 184M Shuang Wen ...</li>
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