> ## Documentation Index > Fetch the complete documentation index at: https://docs.peopledatalabs.com/llms.txt > Use this file to discover all available pages before exploring further. # March 2026 Release Notes (v33.2) | Release Name | Dataset Version | Publish Date | | :----------- | :-------------- | :----------- | | March 2026 | `v33.2` | 03/19/2026 | **Welcome to our March 2026 release notes!** This month’s release focuses on **data quality**, **freshness**, and **richer company workforce insights**. We’ve made significant improvements across our datasets to ensure the information you rely on is **more accurate**, **more current**, and **easier to analyze at scale**. Here’s what’s new: * **✨ [More Company Insights](#new-headcount-insights-fields-company-data)** 7 new company fields tracking fields hiring, retention, and geographic expansion trends * **🔎 [Data Quality Improvements](#improvements)**: More job change detections, better coverage for language proficiencies and more reliable funding information * **🪲 [Important Bug Fixes](#bug-fixes)** We resolved several important issues affecting current and historical experience and education data to ensure more accurate headcount analytics and cleaner profile data. * **📊 [Freshness Updates](#freshness)**: This past month, we [verified 69M+ jobs](#freshness) and [detected 17M+ job changes](#job-changes) across our global dataset Dive into the full details below, or jump to what interests you using the table of contents below. *** # Table of Contents [📐 Schema Changes](#-schema-changes) * [New Headcount Insights Fields](#new-headcount-insights-fields-company-data) [🚀 Data Updates](#-data-updates) * [Freshness](#freshness) * [Job Changes](#job-changes) * [Coverage](#coverage-full-stats-person-company-job-posting-ip) * [Commentary](#commentary) [🛠 Improvements and Bug Fixes](#-improvements-and-bug-fixes) * [Improvements](#improvements) * [Bug Fixes](#bug-fixes) *** # 📐 Schema Changes ## New Headcount Insights Fields (Company Data) **What’s New?** This month, we’re adding **7 new Headcount Insights Fields** to our Company Dataset. These new fields are designed to support workforce analytics use cases with richer data on employee movement, tenure, and geographic growth trends. **New Headcount Insights Fields**
FIELD NAME FIELD TYPE FIELD BUNDLE FIELD DESCRIPTION
[`employee_turnover_rate`](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) `Object` [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive) The percentage of employees who left the company compared to the company’s average workforce size over the most recent period. This field may report turnover rates for various periods.
[`annualized_employee_turnover_rate`](https://docs.peopledatalabs.com/docs/company-schema#annualized_employee_turnover_rate) `Object` [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive) The annualized percentage of employees who left the company compared to the company’s average workforce size over the most recent period. This field is identical to the [employee\_turnover\_rate](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) field, except that each period is annualized to enable direct comparison across different points in time.
[`median_employee_tenure`](https://docs.peopledatalabs.com/docs/company-schema#median_employee_tenure) `Float (>=0)` [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive) The median number of years that employees have worked at the company.
[`median_tenure_by_level`](https://docs.peopledatalabs.com/docs/company-schema#median_tenure_by_level) `Object` [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive) The median number of years that employees have worked at the company, broken out by [job title levels](https://docs.peopledatalabs.com/docs/job-title-levels).
[`median_tenure_by_role`](https://docs.peopledatalabs.com/docs/company-schema#median_tenure_by_role) `Object` [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive) The median number of years that employees have worked at the company, broken out by [job title role](https://docs.peopledatalabs.com/docs/job-title-roles).
[`employee_growth_rate_12_month_by_country`](https://docs.peopledatalabs.com/docs/company-schema#employee_growth_rate_12_month_by_country) `Object` [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive) The twelve month rate of change across each [country](https://docs.peopledatalabs.com/docs/location-countries). For each country, this field contains the current employee count, the employee count from one year ago, and the rate of growth or decline. See also: [employee\_count\_by\_country](https://docs.peopledatalabs.com/docs/company-schema#employee_count_by_country)\ **Note**: users accessing [PDL's Tabular Schema](https://docs.peopledatalabs.com/docs/table-flattened-data-license-format) instead receive this data as columns in the `employee_count_by_country` table.
[`affiliated_entities.employee_count`](https://docs.peopledatalabs.com/docs/company-schema#affiliated_entities) `Integer (>= 0)` [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive) The current employee count for the related company listed in the [affiliated\_entities](https://docs.peopledatalabs.com/docs/company-schema#affiliated_entities) object.
```json "employee_turnover_rate": { "3_month": 0.0125, "6_month": 0.025, "12_month": 0.04, "24_month": 0.2 }, ``` ```json "annualized_employee_turnover_rate": { "3_month": 0.0250 "6_month": 0.05, "12_month": 0.04, "24_month": 0.1 }, ``` ```json "median_employee_tenure": 2.641 ``` ```json "median_tenure_by_level": { "unpaid": 0.0, "cxo": 4.653, "partner": 0.0, "owner": 9.861, "director": 1.785, "vp": 2.617, "senior": 1.958, "manager": 1.813, "entry": 0.0, "training": 0.5 } ``` ```json "median_tenure_by_role": { "advisory": 2.083, "trade": 0.0, "manufacturing": 0.0, "hospitality": 0.0, "public_service": 0.0, "support": 1.546, "research": 2.625, "product": 1.993, "education": 0.0, "human_resources": 2.013, "legal": 0.0, "operations": 3.619, "fulfillment": 1.771, "professional_service": 0.0, "creative": 1.833, "marketing": 1.689, "partnerships": 1.56, "sales_engineering": 2.051, "sales": 1.964, "health": 0.0, "analyst": 1.683, "finance": 4.563, "engineering": 2.993 } ``` ```json "employee_growth_rate_12_month_by_country": { "other_uncategorized": { "current_headcount": 1, "12_month_headcount": 0, "12_month_growth_rate": null }, "united kingdom": { "current_headcount": 10, "12_month_headcount": 2, "12_month_growth_rate": 5 }, "india": { "current_headcount": 1, "12_month_headcount": 1, "12_month_growth_rate": 0 }, "colombia": { "current_headcount": 1, "12_month_headcount": 1, "12_month_growth_rate": 0 }, "canada": { "current_headcount": 74, "12_month_headcount": 52, "12_month_growth_rate": 0.4231 }, "philippines": { "current_headcount": 4, "12_month_headcount": 3, "12_month_growth_rate": 0.3333 }, "spain": { "current_headcount": 0, "12_month_headcount": 4, "12_month_growth_rate": -1 }, "portugal": { "current_headcount": 2, "12_month_headcount": 1, "12_month_growth_rate": 1 }, "united states": { "current_headcount": 168, "12_month_headcount": 172, "12_month_growth_rate": -0.0232 } } ``` ```json "affiliated_entities": [ { "affiliated_id": "Bz8mYR0sZFCrWvdkco07nwi7tGTt", "display_name": "ExampleCo", "relationship": "ultimate_parent", "employee_count": 77118 }, { "affiliated_id": "CzJNyjIICYIBrhIOyxG5iQfQvzLt", "display_name": "SubsidiaryCo", "relationship": "direct_subsidiary", "employee_count": 9 }, ``` **Why It Matters** These new fields expand our **Company Dataset** records with widely used workforce metrics and more ready-to-use indicators of company headcount trends. Together, these fields make it easier to analyze hiring, retention, and geographic expansion without additional calculations. Key benefits include: * **Turnover fields**: Provide standardized turnover metrics that make it easier to benchmark employee retention and workforce stability across companies and time periods * **Median tenure fields**: Adds more robust metrics for understanding employee tenure that complement our existing average tenure fields * **Growth rate by country field**: Simplifies analysis of a company’s geographic presence and makes it easier to identify locations with growing or shrinking footprints * **Affiliated profile employee count field**: Enables easier aggregation of employee counts across parent companies, subsidiaries, and related entities. **Availability**\ These fields will be automatically added to the Company Premium and Company Comprehensive field bundles. Customers receiving either of the Premium or Comprehensive field bundles will **automatically receive the new fields** (unless they have opted out of such updates previously). For the [`employee_turnover_rate`](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) field specifically: * the 12-month turnover rate will be available in the **Premium** bundle * the 3-, 6-, 12-, and 24-month turnover rates will be available in the **Comprehensive** bundle
FIELD NAME BUNDLE
[`employee_turnover_rate`](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive)
[`employee_turnover_rate.3_month`](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive)
[`employee_turnover_rate.6_month`](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive)
[`employee_turnover_rate.12_month`](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) [Premium](https://docs.peopledatalabs.com/docs/company-data-field-bundles#premium)\ [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive)
[`employee_turnover_rate.24_month`](https://docs.peopledatalabs.com/docs/company-schema#employee_turnover_rate) [Comprehensive](https://docs.peopledatalabs.com/docs/company-data-field-bundles#comprehensive)
**We’d Love Your Feedback!**\ Your input helps shape what we build next. Share your thoughts on these fields or suggest new ones via our [Roadmap Feature Request Board](https://feedback.peopledatalabs.com/)! *** # 🚀 Data Updates ### Freshness *The number of jobs and locations verified in our datasets (based on the `job_last_verified` and `location_last_updated` fields).* **Monthly (v33.1 → v33.2)**\ *Freshness updates over the past month.* | Dataset | Geography | Field | Records Updated | | :------ | :------------ | :----------- | --------------- | | Resume | Global | `experience` | 69,340,086 | | Resume | Global | `location` | 71,319,387 | | Resume | United States | `experience` | 25,602,692 | | Resume | United States | `location` | 24,952,269 | ### Job Changes *The number of person records where the primary job experience changed in our Person Dataset (based on the `job_last_changed` field).* **Monthly (v33.1 → v33.2)**\ *Freshness updates over the past month.* | Dataset | Geography | Records Updated | | :------ | :------------ | --------------- | | Resume | Global | 17,095,459 | | Resume | United States | 3,428,411 | ## Coverage (Full Stats: [Person](https://docs.peopledatalabs.com/docs/datasets), [Company](https://docs.peopledatalabs.com/docs/company-stats), Job Posting, [IP](https://docs.peopledatalabs.com/docs/ip-stats)) ### Monthly (v33.1 → v33.2) [**Resume Dataset**](https://docs.peopledatalabs.com/docs/resume-stats) | Linkage | Coverage in v33.1 | Coverage in v33.2 | Increase (%) | | :--------------------------------- | ----------------- | ----------------- | ------------ | | Total Records | 798,883,485 | 809,413,614 | 1.32% | | `languages.proficiency` | 24,017,585 | 56,004,088 | 133.18% | | `work_email` | 64,587,835 | 68,063,562 | 5.38% | | `job_company_total_funding_raised` | 65,789,905 | 60,602,359 | -7.89% | [**API Dataset**](https://docs.peopledatalabs.com/docs/stats) | Linkage | Coverage in v33.1 | Coverage in v33.2 | Increase (%) | | :------------ | ----------------- | ----------------- | ------------ | | Total Records | 2,452,057,338 | 2,450,764,460 | -0.05% | [**Email Dataset**](https://docs.peopledatalabs.com/docs/email-stats) | Linkage | Coverage in v33.1 | Coverage in v33.2 | Increase (%) | | :------------ | ----------------- | ----------------- | ------------ | | Total Records | 587,067,804 | 586,672,510 | -0.07% | [**Mobile Phone Dataset**](https://docs.peopledatalabs.com/docs/mobile-phone-stats) | Linkage | Coverage in v33.1 | Coverage in v33.2 | Increase (%) | | :------------ | ----------------- | ----------------- | ------------ | | Total Records | 479,764,367 | 479,651,097 | -0.02% | [**Company Dataset**](https://docs.peopledatalabs.com/docs/company-stats) | Linkage | Coverage in v33.1 | Coverage in v33.2 | Increase (%) | | :------------ | ----------------- | ----------------- | ------------ | | Total Records | 74,679,887 | 74,685,793 | 0.008% | [**Job Posting Dataset**](https://docs.peopledatalabs.com/docs/jp-stats) | Linkage | Coverage in v33.1 | Coverage in v33.2 | Increase (%) | | :--------------------- | ----------------- | ----------------- | ------------ | | Total Records | 24,056,411 | 25,931,674 | 7.80% | | Total Unique Companies | 48,059 | 52,236 | 8.69% | | Total Active Postings | 2,792,394 | 3,178,613 | 13.83% | ## Commentary * **Person** * We saw a 133% increase in coverage for language proficiencies in our Resume Dataset as a result of some [improvements](#improvements) we made this month. * Work email coverage increased by 5% this month, as part of our ongoing efforts to improve the [quality and deliverability of our top-level email addresses](https://docs.peopledatalabs.com/?isFramePreview=true#email-deliverability-improvements-person) * We saw a 7% drop in coverage for our coverage of `job_company_total_funding_raised` as a result of a [logic improvement](#improvements) we made to ensure more accurate funding information. * **Job Posting Data** * This month we saw a 8% increase in the number of unique companies tracked in our Job Posting Dataset. *** # 🛠 Improvements and Bug Fixes ## Improvements * **Sourcing Diversification** * We expanded our data sourcing resulting in a significant increase in profile updates and job change detections. * **Additional Language Proficiencies** * We identified gaps in how language proficiency levels were being detected and resolved issues that caused some entries to be missed or misread. As a result, proficiency coverage has increased by 133%. * **Total Funding Set to `null` when Unknown** * We updated the `total_funding_raised` field in our Company records to return `null` when all associated `funding_details.funding_raised` values are `null`. Previously, this field returned **0** in these cases. This change more accurately represents situations where funding information is unavailable rather than indicating that no funding was raised. ## Bug Fixes * **Incorrect End Dates on Current Roles** * We resolved an issue where some profiles incorrectly contained an `end_date` (often `2026`) on their current role due to a source data error. In affected records, this caused active positions to be interpreted as ended. * This fix restores the correct representation of current roles and resolves several downstream impacts introduced in the previous release, including: * **Primary job detection**: Some profiles temporarily lost their active primary role because the incorrect `end_date` caused the role to appear inactive. * **Headcount and workforce metrics**: Company headcount trends and derived insights fields (e.g. employee headcount and role transition fields) may have shown artificial declines due to the misclassification of active employees. * **Experience-based calculations**: Metrics derived from current job tenure (such as years at current company) may have been temporarily understated. * **Not impacted: `job_last_changed`** * Our `job_last_changed` metrics reported [this month](#job-changes) and [last month](https://docs.peopledatalabs.com/changelog/february-2026-release-notes-v331#job-changes) were **not** affected by this bug and are accurate representations of the job changes detected in our dataset. * With this fix, current roles are again correctly identified as active, restoring accurate job status and downstream metrics. * **Removed Certifications from Names** * We expanded our name cleaning logic to ensure certain certifications do not appear in name fields (i.e. CDPSE, NRCSS) * **Volunteering Experience as Active Job** * We fixed an issue where volunteer experience was being added into the experience fields and in some cases being selected as an active job. * **Location Names as Experience Summaries** * We fixed an issue where the `experience.summary` field for some records was being incorrectly populated with raw experience location information (e.g. New York, New York, US). This fix removes summaries that directly match location data, improving the quality and uniqueness of professional summary results. * **Education Raw School Values** * We fixed an issue with a data source where raw school values (e.g. `university of oregon`) were being incorrectly mapped to the `education.raw` field instead of the `education.school.raw` field.