- demographics Close
- API healthdata.gov | Last Updated 2021-03-12T23:01:42.000Z
This dataset contains the number of New York State live births stratified by the mother's race/ethnicity and county of residence. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out: : http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:02:41.000Z
The S-band Profiler Raw dataset was saved in two data formats: netCDF anda proprietary Vaisala SPC format. The numeric values in both formats are exactly the same. The S-band Profiler Raw dataset in the netCDF format was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April-June 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters in the vertical. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. After calibration, calibrated data can be obtained from the S-band Original Dwell and Minute datasets.
- API data.lacounty.gov | Last Updated 2019-09-01T00:09:50.000Z
Emissions from passenger vehicles and trucks are estimated based on VMT by vehicle type. VMT for each jurisdiction is estimated using trip-based travel forecasting models developed by Southern California Association of Governments (SCAG). SCAG’s regional travel demand model analyzes transportation network and socioeconomic data such as population, household, and employment, to forecast daily vehicle trips for each traffic analysis zone (TAZ). Model outputs include: • Vehicle trips by type: including cars, light trucks, medium duty trucks, heavy duty trucks, and transit vehicles • Vehicle trip lengths by trip purpose • Vehicle trip origins and destinations Based on vehicle trips analysis, VMT calculations are performed for all cities within LA County (except for the City of Avalon), including unincorporated areas that are under direct County control. Using CARB Emissions Factors (EMFAC) model, CO2 and N2O emissions are estimated by multiplying emissions rates with vehicle activity data in all cities and unincorporated areas within the South Coast (SC) sub-area and the Mojave Desert (MD) sub-area. Sub-area emissions are then disaggregated based on speed bin by time of day and vehicle profile to estimate GHG emissions from into passenger vehicle and heavy duty trucks.
- API data.colorado.gov | Last Updated 2021-06-01T10:30:31.000Z
The State Demography Office has produced an update to its population estimates and forecasts to incorporate the recently released 2010 Census count population totals. The single year of age forecasts by county by gender for Colorado for the years 1990-2040.
- API census.data.commerce.gov | Last Updated 2015-03-25T20:57:20.000Z
A national survey conducted to obtain data on contingent or temporary work that a person does without expecting continuing employment from a particular employer. The universe for this survey is each household member age 15 and older who had a job and worked for pay during the reference work or household members age 15 and older who did not have a job during the reference week but looked for work in the last year and were available for work during the reference week. It is a proxy response survey.
- API healthdata.gov | Last Updated 2021-03-12T23:00:25.000Z
<p>This file includes data from the 2002 through 2009 National Survey on Drug Use and Health (NSDUH) survey. The only variables included in the 8-year 2002-2009 data file are ones that were collected in a comparable manner across all 8 years.<br /> The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Certain questions are asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Also included are questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Demographic information includes gender, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.<br /> In the income section, which was interviewer-administered, a split-sample study had been embedded within the 2006 and 2007 surveys to compare a shorter version of the income questions with a longer set of questions that had been used in previous surveys. This shorter version was adopted for the 2008 NSDUH and will be used for future NSDUHs.This study has 1 Data Set.</p>
- API data.colorado.gov | Last Updated 2021-06-01T16:25:54.000Z
This dataset includes all non-24 hour licensed child care facilities in the State of Colorado. It is updated monthly, and is intended for public use. It includes CDHS-issued child care license numbers, legal business names as they appear in the licensing application, the types of service the programs provide, the physical location address es of the programs as they appear in the licensing application, the longitude-latitude coordinate values derived from geocoding services and spatial QA, the valid Colorado Shines quality rating levels (if applicable), total licensed capacities, and CCCAP utilization and fiscal agreement. Disclaimer: The State of Colorado, the Colorado Department of Human Services, and the Office of Early Childhood make no representations or warranties expressed or implied, with respect to the use of data provided herewith regardless of its format or the means of its transmission. There is no guarantee or representation to the user as to the accuracy, currency, suitability, or reliability of this data for any purpose. The user accepts the data “as is”. The State of Colorado assumes no responsibility for loss or damage incurred as a result of any user reliance on this data. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. The State of Colorado does not necessarily endorse any interpretations or products derived from the data.
- API data.wa.gov | Last Updated 2016-08-29T21:18:28.000Z
The dataset contains hospital inpatient discharge rates, charges, covered payments, charge-to-payment ratios for the 100 most common DRGs among hospitals in the Medicare Prospective Payment System.
- API data.calgary.ca | Last Updated 2020-04-09T16:58:33.000Z
Census data is an official count of dwelling units and population within those units. The data is physically collected and may be supplemented with other information such as the periodic age/gender distribution data. This additional data allows for better interpretation of the population statistics. Data is presented by ward boundaries, the electoral areas represented by one councillor.
- API information.stpaul.gov | Last Updated 2021-05-28T21:31:02.000Z
In 2001, the Saint Paul Police Department began collecting data on traffic stops as part of an agreement with the Saint Paul Chapter of the NAACP. The department uses a data collection system to gather information about all traffic stops made by its officers. This data includes: • Total number of traffic stops • Traffic stops by race and gender • Driver searches by race and gender • Vehicle searches by race and gender • Reason for stop (available starting in 2017) The maps and graphs on this site are the police department’s best effort to show and understand the data. While reviewing the information, please note: • Graphs and charts are created using raw data • Data reflects traffic stops originating by St. Paul Police Officers • Race is based on officers’ perceptions • Fields indicating “No Data” may be due to a variety of factors, including: - Age data is only collected when a citation is issued - Reason for stop data was not collected before 2017 - Technology changes over time - Technical errors - Lack of available information To better understand how the data reflects officers’ day-to-day activities, please click on the maps below. It may be helpful to see where most of the calls for service originate, where traffic crashes occur, and in which grids stops are made. About the Saint Paul Police Department: The Saint Paul Police Department employs approximately 800 people, including an authorized strength of 620 sworn officers. The department responds to approximately 250,000 calls for service and investigates about 13,000 Part I crimes each year. Officers and employees work to promote safe and healthy neighborhoods by providing trusted service with respect. Additional City of Saint Paul demographics data may be found at https://www.stpaul.gov/books/race