AndreaBozzo/ceres-open-data-index huggingface dataset:
Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 7 - Kansas City

Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories

Tags: cdc, centers-for-disease-control-and-prevention
Organization: U.S. Department of Health & Human Services
NYSDOT Highway Record Plans: Beginning 1900

To use the compact view for quick searches, go to the compact view at https://data.ny.gov/dataset/Compact-Project-Design-Information-for-State-Highw/6bx3-2s36/data.

Details of State Highway Construction projects. Provides locations, construction dates, contract amounts, State Highway numbers, contract numbers, work description, nature of work.

Tags: construction-details, engineering-drawings, highways, right-of-way, roads
Organization: State of New York
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis

NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.

Tags: 2015, mmwr, nedss, netss, nndss, rmsf, spotted-fever-rickettsiosis, syphilis-primary-and-secondary, wonder
Organization: U.S. Department of Health & Human Services
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis

NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. 

* Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. 

��� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsiosis. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.

Tags: 2014, mmwr, nedss, netss, nndss, rmsf, spotted-fever-rickettsiosis, syphilis-primary-and-secondary, wonder
Organization: U.S. Department of Health & Human Services
Selected Trend Table from Health, United States, 2011. Health conditions among children under 18 years of age, by selected characteristics: United States, average annual, selected years 1997 - 1999 through 2008 - 2010

Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.

Tags: children, health-conditions, hus
Organization: U.S. Department of Health & Human Services
Medicaid and CHIP Eligibility Levels

The following table provides eligibility levels in each state for key coverage groups that use Modified Adjusted Gross Income (MAGI), as of April 1, 2018. The data represent the principal, but not all, MAGI coverage groups in Medicaid, the Children’s Health Insurance Program (CHIP), and the Basic Health Program (BHP). All income standards are expressed as a percentage of the federal poverty level (FPL). The MAGI-based rules generally include adjusting an individual’s income by an amount equivalent to a 5% FPL disregard. Other eligibility criteria also apply, such as citizenship, immigration status, and state residency.

For more information, see: 
https://www.medicaid.gov/medicaid/program-information/medicaid-and-chip-eligibility-levels/index.html

Tags: chip, eligibility-levels, federal-poverty-level, fpl, magi, medicaid
Organization: U.S. Department of Health & Human Services
U.S. State and Territorial Public Mask Mandates From April 10, 2020 through July 20, 2021 by County by Day

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. 

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through July 20, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

Tags: covid-19, executive-order, government-order, legal-epidemiology, mask-mandates, masks, mitigation, proclamation, public-health-order, social-distancing
Organization: U.S. Department of Health & Human Services
Daily Census Tract-Level Ozone Concentrations, 2001-2005

This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.

Tags: air-pollution, asthma, environmental-health, ozone
Organization: U.S. Department of Health & Human Services
U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – May 31, 2021 by County by Day

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

Tags: covid-19, executive-order, government-order, legal-epidemiology, mitigation, proclamation, public-health-order, shelter-in-place, social-distancing, stay-at-home
Organization: U.S. Department of Health & Human Services
500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release

2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.

Tags: 500cities, behaviors, census, cities, gis, outcomes, prevalence, prevention, tract, unhealthy
Organization: U.S. Department of Health & Human Services
Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior)

2002-2010. BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data

Tags: __, behavioral, brfss, mmsa, risk, smart, survey
Organization: U.S. Department of Health & Human Services
Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs)

Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates(https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS)(https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates in more granular areas using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). Public Use Microdata Areas (PUMA) level – PUMAs are geographic areas within each state that contain no fewer than 100,000 people. PUMAs can consist of part of a single densely populated county or can combine parts or all of multiple counties that are less densely populated.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.


County and State Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw

Tags: coronavirus, covid-19, vaccine-hesitancy
Organization: U.S. Department of Health & Human Services
Selected Trend Table from Health, United States, 2011. Leading causes of death and numbers of deaths, by sex, race, and Hispanic origin: United States, 1980 and 2009

Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.

Tags: cause-of-death, hus
Organization: U.S. Department of Health & Human Services
PLACES: ZCTA Data (GIS Friendly Format), 2022 release

This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

Tags: behaviors, gis, health, outcomes, places, prevalence, prevention, risk, status, zcta, zip-code
Organization: U.S. Department of Health & Human Services
NNDSS - Table II. Tetanus to Vibriosis

NNDSS - Table II. Tetanus to Vibriosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change.  For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  Data for TB are displayed in Table IV, which appears quarterly. 
† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions. 
§ Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139.

Tags: 2016, mmwr, nedss, netss, nndss, tetanus, varicella, vibriosis, wonder
Organization: U.S. Department of Health & Human Services
NNDSS - Table IV. Tuberculosis

NNDSS - Table IV. Tuberculosis - 2015.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2014 and 2015 are provisional through the end of the quarter,  January 2, 2016. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.

Tags: 2015, mmwr, nedss, netss, nndss, tb, tuberculosis, wonder
Organization: U.S. Department of Health & Human Services