Uncategorized

Uncategorized datasets in the CDC Open Data Catalog

This page contains all datasets in the Uncategorized category of the CDC Open Data Catalog.

Total Datasets in Category: 55 Last Updated: 07/14/2025

Datasets in this Category

CDC.gov CleanSlate and Relaunch URL Mappings

  • Description: CDC is planning a major relaunch of CDC.gov on May 15th, followed by subsequent monthly batches of sites restructuring their CDC.gov content into the fall of 2024. Because this restructuring includes merged or changed content, CDC will be updating all URLs to a new standard naming structure. About 70% of these updates will occur during the May 15th launch, but another 30% of our content and URLs will be restructured on a rolling schedule. This data set contains the mapping information from old URLs to new URLs. Before May 15th, 2024, this dataset will only include one row of data to preview the fields in the dataset. After May 15th it will contain all content URLs that changed as part of the relaunch of CDC.gov. After launch, we will continue to add additional mappings typically around the 15th of each month for any for sites updated in each monthly batch.

  • Schema: dwv_cdc_data_cat

  • Table Name: cdc_gov_cleanslate_relaunch_url_mapping__vyry_2yfg

  • Dataset ID: vyry-2yfg

  • Source Data: https://data.cdc.gov/dataset/CDC-gov-CleanSlate-and-Relaunch-URL-Mappings/vyry-2yfg

CDC Library Subscription Databases

CDT_INDIVIDUAL_BY_WEEK_LOCAL

CDT_INDIVIDUAL_LINEAGES_BY_WEEK_LOCAL_PIVOTED

CDT_INDIVIDUAL_LINEAGES_BY_WEEK_LOCAL

county-level ASD prevalence estimates

  • Description: This table provides county-level prevalence for 2018 for seven US states using linked statewide health and education data. For full methods see: Shaw KA, Williams S, Hughes MM, Warren Z, Bakian AV, Durkin MS, et al. Statewide county-level autism spectrum disorder prevalence estimates — seven U.S. states, 2018. Annals of Epidemiology. 2023 Jan 18; Available from: https://www.sciencedirect.com/science/article/pii/S1047279723000182

  • Schema: dwv_cdc_data_cat

  • Table Name: county_level_asd_prevalence_estimates_h__7vg3_e5u2

  • Dataset ID: 7vg3-e5u2

  • Source Data: https://data.cdc.gov/dataset/county-level-ASD-prevalence-estimates/7vg3-e5u2

Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED

  • Description: Reporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated. The surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a position statement from the Council for State and Territorial Epidemiologists, which was later revised. However, there is some variation in how jurisdictions implemented these case definitions. More information on how CDC collects COVID-19 case surveillance data can be found at FAQ: COVID-19 Data and Surveillance. Aggregate Data Collection Process Since the beginning of the COVID-19 pandemic, data were reported from state and local health departments through a robust process with the following steps: Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process. If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state. A CDC data team reviewed counts for congruency prior to integration and set up alerts to monitor for discrepancies in the data. CDC routinely compiled these data and post the finalized information on COVID Data Tracker. County level data were aggregated to obtain state- and territory- specific totals. Counting of cases and deaths is based on date of report and not on the date of symptom onset. CDC calculates rates in these data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage). COVID-19 aggregate case and death data are organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date. New case and death counts are calculated as the week-to-week change in cumulative counts of cases and deaths reported (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the prior week. This process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues. Description This archived public use dataset focuses on the cumulative and weekly case and death rates per 100,000 persons within various sociodemographic factors across all states and their counties. All resulting data are expressed as rates calculated as the number of cases or deaths per 100,000 persons in counties meeting various classification criteria using the US Census Bureau Population Estimates Program (2019 Vintage). Each county within jurisdictions is classified into multiple categories for each factor. All rates in this dataset are based on classification of counties by the characteristics of their population, not individual-level factors. This applies to each of the available factors observed in this dataset. Specific factors and their corresponding categories are detailed below. Population-level factors Each unique population factor is detailed below. Please note that the “Classification” column describes each of the 12 factors in the dataset, including a data dict

  • Schema: dwv_cdc_data_cat

  • Table Name: covid19_us_county_population_trends_xpl__njmz_dpbc

  • Dataset ID: njmz-dpbc

  • Tags: covid, covid-19

  • Source Data: https://data.cdc.gov/dataset/Trends-in-COVID-19-Cases-and-Deaths-in-the-United-/njmz-dpbc

dataset_for_databricks_demo

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

dhds_dataset

DQS Health, United States Dataset Footnote Lookup

  • Description: List of footnotes, notes, and source information for Health, United States datasets. Each row of this dataset contains the accompanying text for a footnote found in a Health, United States dataset. The footnote lookup can be merged onto any Health, United States dataset using FN_YEAR, HUS_SHORT_NAME, and FN_ID. SOURCE: CDC, National Center for Health Statistics, Health, United States

  • Schema: dwv_cdc_data_cat

  • Table Name: dqs_health_us_dataset_footnote_lookup_x__9xt5_u42s

  • Dataset ID: 9xt5-u42s

  • Source Data: https://data.cdc.gov/d/9xt5-u42s

edav-demo-dataset-api

Electronic Health Information Legal Epidemiology Data Set 2014

  • Description: Authors: Cason Schmit, JD, Gregory Sunshine, JD, Dawn Pepin, JD, MPH, Tara Ramanathan, JD, MPH, Akshara Menon, JD, MPH, Matthew Penn, JD, MLIS This legal data set consists of state statutes and regulations in effect as of January 1, 2014, related to electronic health information (EHI). Jurisdictions were limited to US states, territories, and the District of Columbia that had statutes and regulations in the Westlaw legal database that expressly referenced EHI. This data set includes 2,364 EHI-related laws representing 49 EHI uses in 54 jurisdictions. For information about research methods, please reference the Electronic Health Information Legal Epidemiology Protocol 2014.

  • Schema: dwv_cdc_data_cat

  • Table Name: electronic_health_info_legal_epidemiolo__wngq_sdai

  • Dataset ID: wngq-sdai

  • Tags: electronic health information, law, public health law program

  • Source Data: https://data.cdc.gov/dataset/Electronic-Health-Information-Legal-Epidemiology-D/wngq-sdai

hcp_influenza

HHS DRIVE

JMK_DHDS_POC

LymeDisease_9211_county

  • Description: To facilitate the public health and research community's access to NNDSS data on Lyme disease, CDC has developed a public use dataset. Based on reports submitted to CDC, this dataset provides the number of confirmed cases by county for the years 1992���2011, in four 5���year intervals. County tabulation is by American National Standard Institute (ANSI) [formerly Federal Information Processing Standard (FIPS)] codes. County codes of "0" represent "unknown" county of residence within each state. More recent county-level case counts are not publicly available at this time.

  • Schema: dwv_cdc_data_cat

  • Table Name: lyme_disease_county_xplanation_onverted__smai_7mz9

  • Dataset ID: smai-7mz9

  • Tags: lyme

  • Source Data: https://data.cdc.gov/dataset/LymeDisease_9211_county/smai-7mz9

Nowcast Predictions for Chikungunya Virus-Infected Travelers

  • Description: Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.

  • Schema: dwv_cdc_data_cat

  • Table Name: nowcast_predictions_chikungunya_travele__2sxq_n8zu

  • Dataset ID: 2sxq-n8zu

  • Tags: americas, chikungunya, predictions, travelers

  • Source Data: https://data.cdc.gov/dataset/Nowcast-Predictions-for-Chikungunya-Virus-Infected/2sxq-n8zu

Nowcast Predictions for Local Transmission of Chikungunya Virus

  • Description: Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.

  • Schema: dwv_cdc_data_cat

  • Table Name: nowcast_predictions_local_chikungunya_v__7njk_uncd

  • Dataset ID: 7njk-uncd

  • Tags: americas, chikungunya, predictions, travelers

  • Source Data: https://data.cdc.gov/dataset/Nowcast-Predictions-for-Local-Transmission-of-Chik/7njk-uncd

Pathway to Practice (P2P) Resource Center

  • Description: The P2P Resource Center is a one-stop, easy-to-navigate website that features tools and resources produced by CDC-funded PRC research projects. Community organizations and public health practitioners can tailor these resources to identify, replicate, and use key aspects of successful public health programs and inspire others to expand the uptake and use of evidence-based interventions. It also includes information on previous or current research from the PRC Network.

  • Schema: dwv_cdc_data_cat

  • Table Name: p2p_resource_center_ere_s_the_breakdown__2m7c_st88

  • Dataset ID: 2m7c-st88

  • Source Data: https://data.cdc.gov/dataset/Pathway-to-Practice-P2P-Resource-Center/2m7c-st88

2013-2014 PHAP Associates by State

PONE-D-15-23803

  • Description: This data set is from 3 surveys conducted in two districts in western Kenya following the scale up of insecticide treated nets and the implementation of IRS in one of the districts.

  • Schema: dwv_cdc_data_cat

  • Table Name: pone_d_15_23803_xplanation_onvert_all_u__krkm_t59m

  • Dataset ID: krkm-t59m

  • Tags: malaria

  • Source Data: https://data.cdc.gov/dataset/PONE-D-15-23803/krkm-t59m

Science Clips

  • Description: CDC Science Clips is an online bibliographic digest featuring scientific articles and publications that are shared with the public health community each week, to enhance awareness of emerging scientific knowledge.

  • Schema: dwv_cdc_data_cat

  • Table Name: science_clips_would_be_the_clean_identi__biid_68vb

  • Dataset ID: biid-68vb

  • Source Data: https://data.cdc.gov/dataset/Science-Clips/biid-68vb

SocrataDataRefresh_Test

TABLE III. Deaths in 122 U.S. cities

  • Description: TABLE III. Deaths in 122 U.S. cities - 2015122 Cities Mortality Reporting System ��� Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days ���1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ��� 85 years).FOOTNOTE:U: Unavailable -: No reported cases * Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. ** Totals include unknown ages. *** Partial counts for this city.

  • Schema: dwv_cdc_data_cat

  • Table Name: table_iii_deaths_us_cities__7esm_uptm

  • Dataset ID: 7esm-uptm

  • Tags: 122 cities, 2015, death, influenza, mortality

  • Source Data: https://data.cdc.gov/dataset/TABLE-III-Deaths-in-122-U-S-cities/7esm-uptm

TABLE III. Deaths in 122 U.S. cities

  • Description: TABLE III. Deaths in 122 U.S. cities – 2016. 122 Cities Mortality Reporting System — Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days –1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ≥ 85 years). FOOTNOTE: U: Unavailable. —: No reported cases. * Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. † Pneumonia and influenza. § Total includes unknown ages.

  • Schema: dwv_cdc_data_cat

  • Table Name: table_iii_deaths_us_cities__rpjd_ejph

  • Dataset ID: rpjd-ejph

  • Tags: 122 cities, 2016, death, influenza, mortality

  • Source Data: https://data.cdc.gov/dataset/TABLE-III-Deaths-in-122-U-S-cities/rpjd-ejph

testing_cte_aspost

Test

Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System

  • Description: This file contains the complete set of data reported to 122 Cities Mortality Reposting System. The system was retired as of 10/6/2016. While the system was running each week, the vital statistics offices of 122 cities across the United States reported the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days - 1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and - 85 years). U:Unavailable. - : No reported cases.* Mortality data in this table were voluntarily reported from 122 cities in the United States, most of which have populations of >100,000. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. Total includes unknown ages. More information on Flu Activity & Surveillance is available at http://www.cdc.gov/flu/weekly/fluactivitysurv.htm.

  • Schema: dwv_cdc_data_cat

  • Table Name: us_cities_mortality_reporting_system_19__mr8w_325u

  • Dataset ID: mr8w-325u

  • Tags: 122 cities, mmwr table iii, mortality

  • Source Data: https://data.cdc.gov/dataset/Deaths-in-122-U-S-cities-1962-2016-122-Cities-Mort/mr8w-325u

Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED

  • Description: Note: The cumulative case count for some counties (with small population) is higher than expected due to the inclusion of non-permanent residents in COVID-19 case counts. Reporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated. Aggregate Data Collection Process Since the beginning of the COVID-19 pandemic, data were reported through a robust process with the following steps: Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process. If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state. A CDC data team reviewed counts for congruency prior to integration. CDC routinely compiled these data and post the finalized information on COVID Data Tracker. Cases and deaths are based on date of report and not on the date of symptom onset. CDC calculates rates in this data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage). COVID-19 aggregate case and death data were organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date. New case and death counts were calculated as the week-to-week change in reported cumulative cases and deaths (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the week before. This process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues. CDC also worked with jurisdictions after the end of the public health emergency declaration to finalize county data. Source: The weekly archived dataset is based on county-level aggregate count data Confirmed/Probable Cases/Death breakdown: Cumulative cases and deaths for each county are included. Total reported cases include probable and confirmed cases. Time Series Frequency: The weekly archived dataset contains weekly time series data (i.e., one record per week per county) Important note: The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the daily archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts. The surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a position statement from the Council for State and Territorial Epidemiologists, which was later revised. However, there is some variation in how jurisdictions implement these case classifications. More information on how CDC collects COVID-19 case surveillance data can be found at FAQ: COVID-19 Data and Surveillance. Confirmed and Probable Counts In this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, counts of confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report

  • Schema: dwv_cdc_data_cat

  • Table Name: weekly_us_covid19_cases_deaths_county_a__yviw_z6j5

  • Dataset ID: yviw-z6j5

  • Tags: covid, covid-19, surveillance

  • Source Data: https://data.cdc.gov/dataset/Weekly-United-States-COVID-19-Cases-and-Deaths-by-/yviw-z6j5

YRBS State Tobacco Variables 2013 - v2

  • Description: The Youth Risk Behavior Surveillance System (YRBSS) monitors six types of health-risk behaviors that contribute to the leading causes of death and disability among youth and adults. This file contains state-level results for 13 tobacco-use variables by sex and grade for 2013.

  • Schema: dwv_cdc_data_cat

  • Table Name: yrbs_state_tobacco_variables_2013_v2_xp__hp6w_4ap6

  • Dataset ID: hp6w-4ap6

  • Tags: youth risk behavior risk surveillance school-based surveillance

  • Source Data: https://data.cdc.gov/dataset/YRBS-State-Tobacco-Variables-2013-v2/hp6w-4ap6

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