The CMS Program Statistics - Medicare Part D tables provide use and Part D drug costs by type of Part D plan (stand-alone prescription drug plan and Medicare Advantage prescription drug plan). For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data. Below is the list of tables: MDCR UTLZN D 1. Medicare Part D Utilization: Average Annual Prescription Drug Fills by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Generic Dispensing Rate, Yearly Trend MDCR UTLZN D 2. Medicare Part D Utilization: Average Annual Gross Drug Costs Per Part D Enrollee, by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Brand/Generic Drug Classification, Yearly Trend MDCR UTLZN D 3. Medicare Part D Utilization: Average Annual Gross Drug Costs Per Part D Enrollee, by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Brand/Generic Drug Classification, Yearly Trend MDCR UTLZN D 4. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Enrollee, by Type of Plan and Demographic Characteristics MDCR UTLZN D 5. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Type of Plan and Demographic Characteristics MDCR UTLZN D 6. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Enrollee, by Type of Plan, by Area of Residence MDCR UTLZN D 7. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Type of Plan, by Area of Residence MDCR UTLZN D 8. Medicare Part D Utilization: Number of Part D Utilizers and Average Annual Prescription Drug Fills by Type of Part D Plan, Low Income Subsidy (LIS) Eligibility, and Part D Coverage Phase, Yearly Trend MDCR UTLZN D 9. Medicare Part D Utilization: Number of Part D Utilizers and Drug Costs by Type of Part D Plan, Low Income Subsidy (LIS) Eligibility, and Part D Coverage Phase, Yearly Trend MDCR UTLZN D 10. Medicare Part D Utilization: Number of Part D Utilizers, Average Annual Prescription Drug Events (Fills) and Average Annual Gross Drug Cost Per Part D Utilizer, by Part D Coverage Phase and Demographic Characteristics MDCR UTLZN D 11. Medicare Part D Utilization: Number of Part D Utilizers, Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Part D Coverage Phase and Area of Residence

United States - Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity was 4.35% in July of 2025, according to the United States Federal Reserve. Historically, United States - Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity reached a record high of 15.84 in September of 1981 and a record low of 0.52 in August of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity - last updated from the United States Federal Reserve on July of 2025.

The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend

The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital

Context

The CMS National Plan and Provider Enumeration System (NPPES) was developed as part of the Administrative Simplification provisions in the original HIPAA act. The primary purpose of NPPES was to develop a unique identifier for each physician that billed medicare and medicaid. This identifier is now known as the National Provider Identifier Standard (NPI) which is a required 10 digit number that is unique to an individual provider at the national level.

Once an NPI record is assigned to a healthcare provider, parts of the NPI record that have public relevance, including the provider’s name, speciality, and practice address are published in a searchable website as well as downloadable file of zipped data containing all of the FOIA disclosable health care provider data in NPPES and a separate PDF file of code values which documents and lists the descriptions for all of the codes found in the data file.

Content

The dataset contains the latest NPI downloadable file in an easy to query BigQuery table, npi_raw. In addition, there is a second table, npi_optimized which harnesses the power of Big Query’s next-generation columnar storage format to provide an analytical view of the NPI data containing description fields for the codes based on the mappings in Data Dissemination Public File - Code Values documentation as well as external lookups to the healthcare provider taxonomy codes . While this generates hundreds of columns, BigQuery makes it possible to process all this data effectively and have a convenient single lookup table for all provider information.

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:nppes?_ga=2.117120578.-577194880.1523455401

https://console.cloud.google.com/marketplace/details/hhs/nppes?filter=category:science-research

Dataset Source: Center for Medicare and Medicaid Services. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @rawpixel from Unplash.

Inspiration

What are the top ten most common types of physicians in Mountain View?

What are the names and phone numbers of dentists in California who studied public health?

Graph and download economic data for Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis (DGS30) from 1977-02-15 to 2025-07-10 about 30-year, maturity, Treasury, interest rate, interest, rate, and USA.

During a public health emergency in the Families First Coronavirus Response Act (FFCRA), a new optional Medicaid eligibility group was added called COVID-19 testing eligibility group. States reported these expenditures under sections 6004 and 6008 through the Medicaid Budget and Expenditure System (MBES) on the Form CMS-64. The data in these reports constitute summary level preliminary expenditure information related to these FFCRA provisions for each state Notes: 1. The Families First Coronavirus Response Act (FFCRA), enacted on March 18, 2020, provided a temporary FMAP increase to states and territories meeting certain qualifications and added a new optional Medicaid eligibility group for uninsured individuals during a public health emergency in section 1902(a)(10)(A)(ii)(XXIII) of the Act, referred to as the “COVID - 19 Testing Group.” 2. FFCRA Section 6008 provides a temporary 6.2 percentage point FMAP increase to each qualifying state and territory's FMAP under section 1905(b) of the Act, beginning January 1, 2020 and lasting through the end of the quarter in which the public health emergency (PHE) declared by the Secretary for COVID-19 ends, including any extensions. 3. FFCRA Section 6004 provides a 100 percent match rate for individuals eligible under the new optional Medicaid eligibility group in section 1902(a)(10)(A)(ii)(XXIII) of the Act, beginning no earlier than March 18, 2020 and lasting through the end of the PHE for COVID-19. 4. States that have reported “0” either have no expenditures for that reporting category or have not yet reported expenditures for that category. 5. This report is a cumulative summary report that includes current and prior period adjustment expenditures that apply to this quarter 6. For the Quarter ending 03/31/2020: Delaware has Negative Total Computable Expenditures and Total Federal Share Expenditures due to the reporting of prior period adjustments during this period. 7. For the Quarter ending 09/30/2020: Colorado has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 8. For the Quarter ending 03/31/2021: California has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. This corrected FY 2020 Q4 expenditures for Treatment services that are not allowed for Section 6004 100% FMAP match. 9. For the Quarter ending 03/31/2021: Utah has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 10. For the Quarter ending 12/31/2022: California has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 11. For the Quarter ending 12/31/2022: Connecticut has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 12. For the Quarter ending 09/30/2023: Connecticut has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 13. For the Quarter ending 09/30/2023: Illinois has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. 14. For the Quarter ending 09/30/2023: Minnesota has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid

This dataset characterizes canopy heights of mangrove-forested wetlands globally for 2015 at 12-m resolution. Estimates of maximum canopy height (height of the tallest tree) were derived from the German Space Agency's TanDEM-X data that produced global digital surface models. Also provided are Lidar estimates of canopy height based on the GEDI instrument, which were used for training and validation of the TanDEM-X estimates of forest height. The coverage of these data follows Global Mangrove Watch's mangrove extent maps. These spatially explicit maps of mangrove canopy height can be used to assess local-scale geophysical and environmental conditions that may regulate forest structure and carbon cycle dynamics. Maps revealed a wide range of canopy heights, including maximum values (>60 m) that surpass maximum heights of other forest types. Maps are provided in cloud optimized GeoTIFF format, and mangrove heights for individual GEDI tiles are compiled in a comma separated values (CSV) files.

Content

Clinical Laboratory Fee Schedule (CLFS) Applicable Information Raw Data File-This file excludes HCPCS codes for which 10 or fewer reporting entities (TINs) submitted data.

Context

This is a dataset hosted by the Centers for Medicare & Medicaid Services (CMS). The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore CMS's Data using Kaggle and all of the data sources available through the CMS organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Martha Dominguez de Gouveia on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This dataset is distributed under NA

CERN-LHC. Higgs boson turns 10: results from the CMS experiment.

The CMS Program Statistics - Medicare Outpatient Facility tables provide use and payment data for all outpatient facilities, including hospitals providing outpatient services, rural health clinics, community mental health centers, federally qualified health centers, outpatient dialysis facilities, comprehensive outpatient rehabilitation facilities, and other outpatient facilities. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data. Below is the list of tables: MDCR OUTPATIENT 1. Medicare Outpatient Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR OUTPATIENT 2. Medicare Outpatient Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR OUTPATIENT 3. Medicare Outpatient Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR OUTPATIENT 4. Medicare Outpatient Facilities: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Outpatient Facility MDCR OUTPATIENT 5. Medicare Outpatient Facilities: Utilization for Original Medicare Beneficiaries, by Type of Outpatient Facility and Type of Service MDCR OUTPATIENT 6. Medicare Outpatient Prospective Payment System Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR OUTPATIENT 7. Medicare Outpatient Prospective Payment System Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR OUTPATIENT 8. Medicare Outpatient Prospective Payment System Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR OUTPATIENT 9. Medicare Outpatient Critical Access Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR OUTPATIENT 10. Medicare Outpatient Critical Access Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR OUTPATIENT 11. Medicare Outpatient Critical Access Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence

This dataset characterizes canopy heights of mangrove-forested wetlands globally for 2015 at 12-m resolution. Estimates of maximum canopy height (height of the tallest tree) were derived from the German Space Agency's TanDEM-X data that produced global digital surface models. Also provided are Lidar estimates of canopy height based on the GEDI instrument, which were used for training and validation of the TanDEM-X estimates of forest height. The coverage of these data follows Global Mangrove Watch's mangrove extent maps. These spatially explicit maps of mangrove canopy height can be used to assess local-scale geophysical and environmental conditions that may regulate forest structure and carbon cycle dynamics. Maps revealed a wide range of canopy heights, including maximum values (>60 m) that surpass maximum heights of other forest types. Maps are provided in cloud optimized GeoTIFF format, and mangrove heights for individual GEDI tiles are compiled in a comma separated values (CSV) files.

This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.

This dataset holds estimates of forest aboveground biomass (AGB) for Maine, USA, in 2023. AGB was estimated using airborne LiDAR data from the USGS 3DEP project and a deep learning convolutional neural network (CNN) model. The airborne LiDAR datasets used in this mapping were collected in different years. The CNN model was calibrated using plot-level forest inventory data with precise location measurements and spectral indices derived from multiple remote sensing products. Stand-level biomass succession models, developed from the USDA Forest Service Forest Inventory and Analysis (FIA) data, were applied to project biomass estimates to the year 2023 with 10-m spatial resolution. The data are provided in GeoTIFF format.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 2-Year Constant Maturity, Quoted on an Investment Basis (DGS2) from 1976-06-01 to 2025-07-10 about 2-year, maturity, Treasury, interest rate, interest, rate, and USA.

This data set provides global, gridded, model-derived net ecosystem exchange (NEE) of CO2 flux between the land and atmosphere at 3-hourly time steps over seven years (2004-2010) at three different spatial resolutions: 0.5 x 0.5 degree, 2.0 x 2.5 degrees, and 4.0 x 5.0 degrees (latitude/longitude). The 3-hourly data were derived from monthly NEE outputs of 15 global land surface models and four ensemble products in the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP).

Analysis of ‘Medicaid CMS-64 FFCRA Increased FMAP Expenditure’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7a59b46a-7b59-4195-841c-f6aedddd1075 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

During a public health emergency in the Families First Coronavirus Response Act (FFCRA), a new optional Medicaid eligibility group was added called COVID-19 testing eligibility group. States reported these expenditures under sections 6004 and 6008 through the Medicaid Budget and Expenditure System (MBES) on the Form CMS-64. The data in these reports constitute summary level preliminary expenditure information related to these FFCRA provisions for each state

Notes: 1. The Families First Coronavirus Response Act (FFCRA), enacted on March 18, 2020, provided a temporary FMAP increase to states and territories meeting certain qualifications and added a new optional Medicaid eligibility group for uninsured individuals during a public health emergency in section 1902(a)(10)(A)(ii)(XXIII) of the Act, referred to as the "COVID-19 testing group."
2. FFCRA Section 6008 provides a temporary 6.2 percentage point FMAP increase to each qualifying state and territory's FMAP under section 1905(b) of the Act, beginning January 1, 2020 and lasting through the end of the quarter in which the public health emergency (PHE) declared by the Secretary for COVID-19 ends, including any extensions.
3. FFCRA Section 6004 provides a 100 percent match rate for individuals eligible under the new optional Medicaid eligibility group in section 1902(a)(10)(A)(ii)(XXIII) of the Act, beginning no earlier than March 18, 2020 and lasting through the end of the PHE for COVID-19.
4. States that have reported “0” either have no expenditures for that reporting category or have not yet reported expenditures for that category.
5. This report is a cumulative summary report that includes current and prior period adjustment expenditures that apply to this quarter.

--- Original source retains full ownership of the source dataset ---

Simulated dataset TTChiChiJets_M-600_TuneZ2star_8TeV-madgraph-tauola in AODSIM format for 2012 collision data.

See the description of the simulated dataset names in: About CMS simulated dataset names.

This dataset includes airborne in situ measurements of greenhouse gas mixing ratios, meteorological parameters, and fluxes (CO2, CH4, latent heat fluxes, friction velocity, and convective velocity scale) calculated with wavelet transforms. CO2, CH4, CO, O3, and water vapor mixing ratios, and meteorological variables were obtained from a Beechcraft A90 King Air aircraft. Flights occurred on April 19-26 2022, October 14-20 2022, February 5-13 2023, and April 13-19 2023 as part of the BlueFlux campaign, funded by NASA's Carbon Monitoring System program. Measurements were made with several instruments, including a PICARRO 2401-m (0.5 Hz CO2/CH4/H2O/CO), PICARRO 2311-f (10 Hz CO2/CH4/H2O), NASA Rapid Ozone Experiment (ROZE, 10 Hz O3), and AIMMS-20 probe (3-D winds, meteorology, and aircraft location data). Flight lines span Everglades National Park (ENP) and Big Cypress National Preserve (BCNP) in southern Florida, USA. The measurements were used to calculate vertical fluxes of trace gases and heat via wavelet transform eddy covariance

This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees who received a well-child visit paid for by Medicaid or CHIP, overall and by five subpopulation topics: age group, race and ethnicity, urban or rural residence, program type, and primary language. These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, except where otherwise noted. Enrollees in Guam, American Samoa, and the Northern Mariana Islands are not included. Results include enrollees with comprehensive Medicaid or CHIP benefits for all 12 months of the year and who were younger than age 19 at the end of the calendar year. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the primary language subpopulation topic exclude select states with data quality issues with the primary language variable in TAF. Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on the brief: "Medicaid and CHIP enrollees who received a well-child visit in 2020." Enrollees are identified as receiving a well-child visit in the year according to the Line 6 criteria in the Form CMS-416 reporting instructions. Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to a program type subpopulation based on the CHIP code and eligibility group code that applies to the majority of their enrolled-months during the year (Medicaid-Only Enrollment; M-CHIP and S-CHIP Enrollment). Enrollees are assigned to a primary language subpopulation based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.