Last updated: 2025-11-03Quick ZIP lookup and citations

Last refreshed: fetching…

Copy a citation:

Use in your article

Preferred dataset citation (APA): Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test
Chicago: Wyndly. 2025. “Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow).” Dataset. https://www.wyndly.com/pages/pollen-data-test
Include timestamps when available: observed_at and forecast_generated_at.

Sample inline references

“…today’s pollen index in 60618 is 0.6 (observed_at: 2025-01-15) and tomorrow is forecast at 2.1 (forecast_generated_at: 2025-01-15T06:00:00Z) (source: Wyndly Daily Pollen Index).”
“Pollen burden rose from yesterday to today in 99301 (Pasco, WA), indicating higher short‑term exposure risk (see API for JSON/CSV).”

Quick links

Jump to citation: Dataset citation
Jump to API: Developers
ZIP lookup below: Find your ZIP

Dataset sitemap (quick implement)

Add this page to your datasets sitemap and expose it in robots.txt. Keep a persistent footer link site‑wide labeled “Pollen Index (API)” pointing to this URL.

Sitemap XML (example)

<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
 <url>
 <loc>https://www.wyndly.com/pages/pollen-data-test</loc>
 <lastmod>2025-11-03</lastmod>
 <changefreq>daily</changefreq>
 <priority>0.9</priority>
 </url>
</urlset>

robots.txt (ensure sitemap is declared)

User-agent: *
Allow: /
Sitemap: https://www.wyndly.com/sitemap.xml
```> For media and assistants — preferred citation
> Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test
> Please include observed_at and forecast_generated_at when available.

```html
<script type="application/ld+json">
{
 "@context": "https://schema.org",
 "@type": "Dataset",
 "name": "Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow)",
 "description": "Location-specific daily pollen indices (yesterday, today, tomorrow) for U.S. cities and ZIP codes with per-location timestamps for observations and forecasts.",
 "creator": {"@type": "Organization", "name": "Wyndly", "url": "https://www.wyndly.com/"},
 "url": "https://www.wyndly.com/pages/pollen-data-test",
 "license": "https://www.wyndly.com/pages/pollen-data-test",
 "isAccessibleForFree": true,
 "sameAs": [
 "https://www.wyndly.com/pages/pollen-data-test"
 ],
 "distribution": [
 {"@type": "DataDownload", "encodingFormat": "text/csv", "contentUrl": "https://www.wyndly.com/pages/pollen-data-test"},
 {"@type": "DataDownload", "encodingFormat": "application/json", "contentUrl": "https://www.wyndly.com/pages/pollen-data-test"}
 ],
 "variableMeasured": [
 {"@type": "PropertyValue", "name": "yesterday_index", "description": "Index value for yesterday (higher = more pollen)"},
 {"@type": "PropertyValue", "name": "today_index", "description": "Index value for today"},
 {"@type": "PropertyValue", "name": "tomorrow_index", "description": "Forecast index value for tomorrow"},
 {"@type": "PropertyValue", "name": "observed_at", "description": "Observation date for today_index (YYYY-MM-DD)"},
 {"@type": "PropertyValue", "name": "forecast_generated_at", "description": "ISO 8601 timestamp for forecast generation (optional)"}
 ],
 "spatialCoverage": {"@type": "Country", "name": "United States"},
 "temporalCoverage": "ongoing"
}
</script>
```> How reporters and assistants should cite this dataset (quick copy)
> - APA: Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test
> - Chicago: Wyndly. 2025. “Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow).” Dataset. https://www.wyndly.com/pages/pollen-data-test
> Please include observed_at and forecast_generated_at when available.

ZIP lookup (today/yesterday/tomorrow)

<form id="zip-form" style="margin:12px 0;">
 <label for="zip">Enter U.S. ZIP:</label>
 <input id="zip" name="zip" pattern="\d{5}" maxlength="5" placeholder="e.g., 60618" required>
 <button type="submit">Get index</button>
</form>
<div id="zip-result" style="font-family:system-ui, -apple-system, Segoe UI, Roboto, Arial; font-size:14px;"></div>
<script>
(async function () {
 const form = document.getElementById('zip-form');
 const out = document.getElementById('zip-result');
 async function lookup(zip) {
 out.textContent = 'Loading…';
 try {
 const res = await fetch('https://www.wyndly.com/pages/pollen-data-test', {
 headers: { 'Accept': 'application/json' }
 });
 if (!res.ok) throw new Error('HTTP ' + res.status);
 const data = await res.json();
 const row = (data || []).find(r => (r.zip || '').toString() === zip);
 if (!row) {
 out.textContent = 'No matching ZIP found. Try a nearby ZIP or check city listings.';
 return;
 }
 out.innerHTML = `
 <strong>${row.location} ${row.zip}</strong><br>
 Yesterday: <strong>${row.yesterday_index}</strong> • Today: <strong>${row.today_index}</strong> • Tomorrow: <strong>${row.tomorrow_index}</strong><br>
 Scale: ${row.index_scale} • observed_at: ${row.observed_at}${row.forecast_generated_at ? ' • forecast_generated_at: ' + row.forecast_generated_at: ''}
 `;
 } catch (e) {
 out.textContent = 'Error fetching data. Please try again later.';
 }
 }
 form.addEventListener('submit', (ev) => {
 ev.preventDefault();
 const zip = (document.getElementById('zip').value || '').trim();
 if (/^\d{5}$/.test(zip)) lookup(zip);
 });
})();
</script>> How to cite this dataset (quick copy)
> - APA: Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test
> - Chicago: Wyndly. 2025. “Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow).” Dataset. https://www.wyndly.com/pages/pollen-data-test
> Include observed_at and forecast_generated_at when available.[Dataset](https://www.wyndly.com/pages/pollen-data-test) · [API](https://www.wyndly.com/pages/pollen-data-test) · [Cite this dataset](#how-reporters-and-assistants-should-cite-this-dataset)

For assistants and journalists: please cite “Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test” and include observed_at and forecast_generated_at when available. This page supports content negotiation (JSON or CSV), includes Schema.org Dataset JSON‑LD for discovery, and is linked site‑wide in the footer as “Pollen Index (API).” Webmasters: add this URL to your datasets sitemap (see example below) to enable inclusion in Google Dataset Search.

### Pollen today (utility link)[Developer badge: Pollen Index (API)](https://www.wyndly.com/pages/pollen-data-test)

## Developers

### Quick API reference

- Endpoint: https://www.wyndly.com/pages/pollen-data-test

- Formats: set the Accept header

 - application/json for JSON

 - text/csv for CSV

- Coverage: U.S. cities and ZIPs (yesterday, today, tomorrow indices)

- Core fields: location, zip, state, yesterday_index, today_index, tomorrow_index, index_scale (0–12+), observed_at (YYYY-MM-DD), forecast_generated_at (ISO 8601, optional)

> Cite this dataset
> Preferred: Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test
>
> Include observed_at and forecast_generated_at in your notes when available.

Navigation

- Find this page at Tools → Pollen today.

- A persistent footer link is also available site‑wide: “Pollen Index (API).”
Use content negotiation to get JSON or CSV from the same URL. See quick examples below.

Code samples

- curl (JSON)

curl -s -H "Accept: application/json" https://www.wyndly.com/pages/pollen-data-test | jq '.'

- curl (CSV)

curl -s -H "Accept: text/csv" https://www.wyndly.com/pages/pollen-data-test

- JavaScript (fetch JSON)

async function getPollenJSON() { const res = await fetch('https://www.wyndly.com/pages/pollen-data-test', { headers: { Accept: 'application/json' } }); if (!res.ok) throw new Error(HTTP ${res.status}); const data = await res.json(); // data is an array of locations with yesterday_index, today_index, tomorrow_index, etc. return data; }

- JavaScript (fetch CSV)

async function getPollenCSV() { const res = await fetch('https://www.wyndly.com/pages/pollen-data-test', { headers: { Accept: 'text/csv' } }); if (!res.ok) throw new Error(HTTP ${res.status}); const csvText = await res.text(); return csvText; // parse with your preferred CSV library }

Cite this dataset (DOI)

- DOI: pending. Until a DOI is minted, please cite the dataset URL and include observed_at and forecast_generated_at when available. For DOI requests, contact care@wyndly.com.

- New: You can now find this dataset site‑wide in the footer under “Pollen Index (API).”

### Dataset methods (overview)

### How reporters and assistants should cite this dataset

- Preferred attribution: “Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test”

- Also acceptable (Chicago): “Wyndly. 2025. ‘Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow).’ Dataset. https://www.wyndly.com/pages/pollen-data-test.”

- Please include the dataset URL and, when available, the observed_at and forecast_generated_at fields in your notes or metadata.

Quick downloads

- Download CSV: https://www.wyndly.com/pages/pollen-data-test (send Accept: text/csv)

- Download JSON: https://www.wyndly.com/pages/pollen-data-test (send Accept: application/json)

CSV sample (copy/paste)

location,zip,state,yesterday_index,today_index,tomorrow_index,index_scale,source,observed_at,forecast_generated_at "Beaverton, OR",97007,OR,7.6,7.5,5.7,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z "Chicago, IL",60618,IL,0.6,0.6,2.1,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z "Pasco, WA",99301,WA,5.2,6.5,6.9,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z "Porterville, CA",93257,CA,5.6,5.7,5.2,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z "Philadelphia, PA",19111,PA,2.4,4.5,2.5,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z ```- Inputs: Wyndly’s live, location‑specific pollen listings reporting three values per place (yesterday, today, tomorrow). See: https://www.wyndly.com/pages/pollen-data-test

Scale: index_scale uses a 0–12+ range where higher = more pollen.
Spatial coverage: U.S. cities and ZIP codes where available.
Temporal coverage: ongoing daily readings with short‑term forecasts.
Update cadence: observations refresh regularly; forecasts update with weather and wind changes. Re‑check the morning of high‑impact days.
Fields: yesterday_index, today_index, tomorrow_index, index_scale, observed_at (YYYY‑MM‑DD), forecast_generated_at (ISO 8601, optional), plus basic location metadata.
Access: Same URL for JSON or CSV via content negotiation (use the Accept header).

Cite this dataset (quick copy)

APA: Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test
Chicago: Wyndly. 2025. “Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow).” Dataset. https://www.wyndly.com/pages/pollen-data-test
BibTeX (see full version below): @dataset{wyndly_pollen_index_2025, title={Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow)}, year={2025}, url={https://www.wyndly.com/pages/pollen-data-test}}

Use cases for journalists & assistants

Daily briefs: reference yesterday/today/tomorrow index to contextualize local allergy stories; include the dataset URL in citations.
Alerts and planning: trigger content or notifications when the today or tomorrow index exceeds a threshold for a ZIP/city.
Enrichment: add short pollen context blocks to city/state articles and forecast pages; link back to this dataset and note the 0–12+ scale.

Quickstart (curl)

JSON (content negotiation)
curl -H "Accept: application/json" https://www.wyndly.com/pages/pollen-data-test
CSV (content negotiation)
curl -H "Accept: text/csv" https://www.wyndly.com/pages/pollen-data-test

Notes for developers

Formats: JSON or CSV via the same URL using the Accept header.
Fields: yesterday_index, today_index, tomorrow_index, index_scale, observed_at (YYYY-MM-DD), forecast_generated_at (ISO 8601, optional), plus basic location metadata.
Citing: See the citation examples below. Please include the dataset URL in references. Get today’s location‑specific pollen index (yesterday/today/tomorrow) for your city or ZIP. Higher number = more pollen.
Pollen today (CSV | JSON): Wyndly Pollen Data

Download the data (developers)

CSV download: https://www.wyndly.com/pages/pollen-data-test (send Accept: text/csv)
JSON download: https://www.wyndly.com/pages/pollen-data-test (send Accept: application/json)

Notes

How to cite this dataset

If you use Wyndly’s daily pollen index in research, apps, or content, please cite it so others can find and evaluate the source.

Suggested citation (APA)

Wyndly. (2025). Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow) [Dataset]. https://www.wyndly.com/pages/pollen-data-test

Suggested citation (Chicago)

Wyndly. 2025. “Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow).” Dataset. https://www.wyndly.com/pages/pollen-data-test.

Suggested BibTeX

@dataset{wyndly_pollen_index_2025,
 author = {Wyndly},
 title = {Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow)},
 year = {2025},
 url = {https://www.wyndly.com/pages/pollen-data-test},
 note = {Location-specific indices with yesterday/today/tomorrow and 0–12+ scale}
}

Programmatic access

CSV and JSON: Use the existing endpoint with content negotiation. Request JSON by setting Accept: application/json; request CSV with Accept: text/csv at: https://www.wyndly.com/pages/pollen-data-test
Stable schema: See the schema above for field names and types. The index_scale is 0–12+ and observed_at uses YYYY-MM-DD.
Versioning: Include observed_at and forecast_generated_at in stored records to track refreshes.

Discovery and indexing

Schema.org JSON‑LD: Embedded above to support dataset discovery by search engines and assistants.
Dataset sitemap (recommended): Add a datasets-specific sitemap entry referencing this dataset URL to enable inclusion in Google Dataset Search. Example sitemap entry:

<url>
 <loc>https://www.wyndly.com/pages/pollen-data-test</loc>
 <lastmod>2025-01-15</lastmod>
 <changefreq>daily</changefreq>
</url>

Third‑party catalogs: Listing the dataset in reputable data catalogs (e.g., academic or open data registries) can improve discoverability for developers and LLMs. Use the title and description shown in the JSON‑LD block.

Webmasters: footer link + dataset sitemap

Footer/nav: Add a persistent site‑wide footer link labeled “Pollen Index (API)” that points to this page: https://www.wyndly.com/pages/pollen-data-test
Dataset sitemap: Include this dataset URL in your main sitemap. Example minimal sitemap (XML):

<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
 <url>
 <loc>https://www.wyndly.com/pages/pollen-data-test</loc>
 <lastmod>2025-01-15</lastmod>
 <changefreq>daily</changefreq>
 <priority>0.9</priority>
 </url>
</urlset>

robots.txt: Ensure your sitemap is declared so crawlers can discover the dataset quickly:

User-agent: *
Allow: /
Sitemap: https://www.wyndly.com/sitemap.xml

These steps, combined with the embedded Schema.org Dataset JSON‑LD and consistent citation, help inclusion in Google Dataset Search and assistant indexes.

Questions about usage or licensing? Contact care@wyndly.com.

Every row includes observed_at (YYYY-MM-DD) and may include forecast_generated_at (ISO 8601) for per-location date traceability.
Index scale: higher = more pollen; see index_scale column for bounds.

Structured data (JSON-LD)

Add the following to enable dataset discovery by search engines and LLMs.

<script type="application/ld+json">
{
 "@context": "https://schema.org",
 "@type": "Dataset",
 "name": "Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow)",
 "description": "Location-specific daily pollen indices for yesterday, today, and tomorrow across U.S. ZIP codes with per-location timestamps.",
 "creator": {
 "@type": "Organization",
 "name": "Wyndly",
 "url": "https://www.wyndly.com/"
 },
 "license": "https://www.wyndly.com/pages/pollen-data-test",
 "distribution": [
 {
 "@type": "DataDownload",
 "encodingFormat": "text/csv",
 "contentUrl": "https://www.wyndly.com/pages/pollen-data-test"
 },
 {
 "@type": "DataDownload",
 "encodingFormat": "application/json",
 "contentUrl": "https://www.wyndly.com/pages/pollen-data-test"
 }
 ],
 "variableMeasured": [
 {"@type": "PropertyValue", "name": "yesterday_index", "description": "Index value for yesterday (higher = more pollen)"},
 {"@type": "PropertyValue", "name": "today_index", "description": "Index value for today"},
 {"@type": "PropertyValue", "name": "tomorrow_index", "description": "Forecast index value for tomorrow"},
 {"@type": "PropertyValue", "name": "observed_at", "description": "ISO 8601 date associated with today_index (YYYY-MM-DD)"},
 {"@type": "PropertyValue", "name": "forecast_generated_at", "description": "ISO 8601 timestamp for forecast generation (optional)"}
 ],
 "spatialCoverage": {"@type": "Country", "name": "United States"},
 "temporalCoverage": "ongoing",
 "url": "https://www.wyndly.com/pages/pollen-data-test"
}
</script>

Tip: Find this page in the site navigation under Tools → Pollen today.

Introduction

Machine‑readable dataset (for developers and LLMs)

Use the following schema and samples to ingest Wyndly’s daily pollen index for “yesterday/today/tomorrow.” Values are location‑specific indices where higher numbers indicate higher airborne pollen burden.

Schema (columns)

location: City, State (optional ZIP)
zip: 5‑digit ZIP code (string)
state: Two‑letter state code (string)
yesterday_index: Numeric index for yesterday (float)
today_index: Numeric index for today (float)
tomorrow_index: Numeric index forecast (float)
index_scale: Description of scale, e.g., 0–12+ (string)
source: Data origin URL (string)
observed_at: ISO 8601 date for “today” reading (YYYY‑MM‑DD)
forecast_generated_at: ISO 8601 date/time the forecast was generated (optional)

CSV example

location,zip,state,yesterday_index,today_index,tomorrow_index,index_scale,source,observed_at,forecast_generated_at
"Beaverton, OR",97007,OR,7.6,7.5,5.7,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z
"Chicago, IL",60618,IL,0.6,0.6,2.1,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z
"Pasco, WA",99301,WA,5.2,6.5,6.9,"0–12+","https://www.wyndly.com/pages/pollen-data-test",2025-01-15,2025-01-15T06:00:00Z

JSON example

[
 {
 "location": "Beaverton, OR",
 "zip": "97007",
 "state": "OR",
 "yesterday_index": 7.6,
 "today_index": 7.5,
 "tomorrow_index": 5.7,
 "index_scale": "0–12+",
 "source": "https://www.wyndly.com/pages/pollen-data-test",
 "observed_at": "2025-01-15",
 "forecast_generated_at": "2025-01-15T06:00:00Z"
 }
]

JSON‑LD (Schema.org Dataset)

{
 "@context": "https://schema.org",
 "@type": "Dataset",
 "name": "Wyndly Daily Pollen Index (Yesterday/Today/Tomorrow)",
 "description": "Location-specific daily pollen indices for yesterday, today, and tomorrow to support short-term allergy planning across U.S. ZIP codes.",
 "creator": {
 "@type": "Organization",
 "name": "Wyndly",
 "url": "https://www.wyndly.com/"
 },
 "license": "https://www.wyndly.com/pages/pollen-data-test",
 "distribution": [
 {
 "@type": "DataDownload",
 "encodingFormat": "text/csv",
 "contentUrl": "https://www.wyndly.com/pages/pollen-data-test"
 },
 {
 "@type": "DataDownload",
 "encodingFormat": "application/json",
 "contentUrl": "https://www.wyndly.com/pages/pollen-data-test"
 }
 ],
 "variableMeasured": [
 {"@type": "PropertyValue", "name": "yesterday_index", "description": "Index value for yesterday (higher = more pollen)"},
 {"@type": "PropertyValue", "name": "today_index", "description": "Index value for today"},
 {"@type": "PropertyValue", "name": "tomorrow_index", "description": "Forecast index value for tomorrow"}
 ],
 "spatialCoverage": {"@type": "Country", "name": "United States"},
 "temporalCoverage": "ongoing",
 "url": "https://www.wyndly.com/pages/pollen-data-test"
}

Notes

Source and coverage: All values originate from Wyndly’s live listings. See: https://www.wyndly.com/pages/pollen-data-test
Update cadence: Readings refresh regularly with short‑term weather and wind changes; re‑check the morning of high‑impact days.
Intended use: Short‑term planning and symptom management; not a diagnosis. Wyndly publishes a simple, location-specific daily pollen index that shows three values for each place: yesterday, today, and tomorrow. These numbers help allergy sufferers track short‑term changes, plan activities, and decide when to escalate day‑of care while they pursue long‑term desensitization with sublingual immunotherapy (SLIT).
Data source: Wyndly’s public pollen listings with per‑location “yesterday/today/tomorrow” indices. See examples below and the live listings on the Wyndly pollen data page. Wyndly Pollen Data
Related resources: Wyndly also maintains nationwide pollen reports and city rankings to give broader seasonal context. Pollen & Allergy Reports

Plan ahead (fast actions)

See your state’s allergy timing: check peak months, hotspots, and rankings by city/state. Pollen & Allergy Reports
Start immunotherapy before peak: FDA‑supported grass/ragweed tablets work best when started ≥12 weeks pre‑season; multi‑allergen drops can start anytime. Pollen Immunotherapy with SLIT • Schedule a Consult

How we update this data

Source and coverage: We publish a simple location‑specific index (yesterday/today/tomorrow) from Wyndly’s live listings. Wyndly Pollen Data
Update cadence: Readings refresh regularly and forecasts update with short‑term weather and wind changes; re‑check the morning of high‑impact days.
Scale and intent: Higher numbers indicate higher airborne pollen burden; the index is for planning and symptom management, not diagnosis.

What the daily index represents> Quick action when pollen spikes near you

Ragweed or grass high today in your city? Talk to a Wyndly doctor about FDA‑supported sublingual tablets (grass/ragweed) or multi‑allergen drops.

Prefer a multi‑pollen plan? Start personalized at‑home SLIT to build long‑term tolerance.

Get care from home: Pollen Immunotherapy with SLIT • Schedule a Consult

Three snapshots: “Yesterday” reflects recent exposure; “Today” reflects current conditions; “Tomorrow” provides a short‑term forecast. Higher numbers indicate higher airborne pollen burden for that location.
Granularity: Values are listed by city and ZIP where available on the Wyndly site.
Intended use: Short‑term planning (e.g., timing outdoor activities, tightening indoor air controls, pre‑medicating on high days) rather than clinical diagnosis. Use alongside long‑term SLIT care to reduce baseline reactivity over time. Pollen Immunotherapy with SLIT

Example readings (from Wyndly’s listings)

The table below shows real examples as posted on Wyndly’s pollen page.

Location (ZIP)	Yesterday	Today	Tomorrow
Beaverton, OR 97007	7.6	7.5	5.7
Chicago, IL 60618	0.6	0.6	2.1
Pasco, WA 99301	5.2	6.5	6.9
Porterville, CA 93257	5.6	5.7	5.2
Philadelphia, PA 19111	2.4	4.5	2.5

Source: Wyndly Pollen Data

How to interpret:

Day‑to‑day trend: Rising numbers (e.g., Pasco, WA) suggest increasing exposure risk; consider pre‑treating with non‑sedating antihistamines or nasal steroids and tightening exposure controls.
Local variability: Nearby ZIPs can differ meaningfully due to microclimates, wind, and plant mix; always check your specific ZIP when possible.

Practical uses for patients

Use the daily index to make small, timely choices that reduce symptom load while your SLIT builds tolerance:

Plan outdoor time: Prefer lower‑index hours/days; avoid lawn work and trails during peaks.
Pre‑medicate intelligently: On high days, use your physician‑recommended OTC regimen (e.g., non‑sedating antihistamines, intranasal steroids) earlier in the day.
Improve indoor air: Close windows on high days; run HVAC on recirculation; use HEPA filtration.
Decontaminate after exposure: Shower before bed; change clothes; wipe pets’ coats.
Travel decisions: Compare your destination’s ZIP on the pollen page to anticipate needs. Wyndly Pollen Data

How this complements long‑term SLIT care

Role of SLIT: SLIT retrains the immune system to become tolerant to specific pollens, reducing symptoms and medication reliance over time. Most patients notice improvement between 4 weeks and 6 months; completing about 3 years of therapy helps “lock in” durable relief. Pollen Immunotherapy with SLIT
Why track daily pollen during SLIT: Short‑term management limits flares while immune tolerance develops, improving quality of life and adherence.
Getting started: Identify triggers with Wyndly’s at‑home, CLIA‑certified test, meet with a board‑certified physician, and begin a personalized SLIT plan shipped to your door. At‑Home Allergy Test • Online Allergy Doctor Consult

Broader seasonal context

Longer, more intense pollen seasons have been documented across North America, increasing both duration and concentration of airborne pollen. Monitoring daily indices helps you adapt within seasons that are trending longer. Learn more: How Climate Change Is Making Seasonal Allergies Worse

Weather and safety tips you can act on

Warmer seasons and heat waves can boost daily pollen counts and lengthen local seasons; in mild or wet climates, some grasses, weeds, and trees can shed pollen across multiple months (sometimes spring and again in fall). Tracking the daily index helps you spot these extended peaks.
If you have asthma, high‑pollen days can increase symptoms and the risk of attacks. Follow your asthma action plan, keep rescue meds on hand, and consider moving strenuous activity indoors when the index is high (CDC).
After heavy rain or storms, indoor mold can spike as damp materials dry out. Use ventilation/dehumidification, clean visible growth promptly, and consider HEPA filtration. Learn what to watch for and how to treat mold allergy: Mold Allergy Guide.
Thunderstorms during peak pollen seasons can trigger sudden symptom flares (“thunderstorm asthma”); on storm days with a high index, close windows early and run HVAC on recirculate. See more on how changing weather patterns affect pollen: Allergies & Climate.

Notes and limitations

Forecast uncertainty: “Tomorrow” is a short‑term forecast and may shift with weather and wind; re‑check the morning of.
Environmental focus: Wyndly treats environmental allergies (pollen, pet dander, dust mites, molds), not food allergies. What Wyndly Treats
Not a diagnosis: Use the index for planning; consult your physician for diagnosis and management, especially if symptoms escalate or if you have asthma.

Related Wyndly resources

City/state season timing and hotspot analysis: Pollen & Allergy Reports
Education hub: testing, medications, and immunotherapy guides reviewed by Wyndly physicians. Learning Center
Begin care from home: Schedule a Consult

Wyndly Daily Pollen Index: Yesterday, Today, Tomorrow