- What is the Population Rate of Change?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Total Administration Salaries?
- What is the Student Teacher Ratio?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Percent Without Health Insurance?
- What is the Access to Exercise Opportunities Rate?
The population count of Maine was 1,330,158 in 2017.
Demographics and Population Datasets Involving Maine
- API data.maine.gov | Last Updated 2015-04-17T12:49:51.000Z
- API data.ny.gov | Last Updated 2018-08-07T22:46:47.000Z
This dataset provides county-level demographic data (sex, adjudication, age, race/ethnicity, and service setting) for youth admitted to and discharged from the care and custody of the Office of Children and Family Services (OCFS) each year. Data are counted using a youth’s first admission or discharge in a calendar year. Admissions data are aggregate based on the responsible (court) county. Discharges data are aggregate based on the county of residence.
- API data.sonomacounty.ca.gov | Last Updated 2019-02-23T09:20:54.000Z
Historical population data captured daily. Two figures are shown those in custody and those in outside custody but are still under the responsibility of Sonoma County Sheriff. Examples of outside custody include home confinement, state prison, hospital stays, weekend custody, and supervised by other agencies.
- API www.data.act.gov.au | Last Updated 2018-09-10T07:22:30.000Z
This data set provides a count and percentage of main activity of individuals sampled in obtaining data for the ACT Household Travel Survey.
- API performance.fultoncountyga.gov | Last Updated 2019-01-14T16:40:48.000Z
The average inmate population at all Fulton County detention facilities including the Main Jail. The average population is calculated for each month by averaging the daily population counts reported by the Fulton County Sheriff.
- API data.austintexas.gov | Last Updated 2018-02-28T19:39:55.000Z
This dataset is a list of main headquarter office locations for non profit and governmental organizations that have formal agreements with Austin Public Health for the delivery of social services within the City of Austin and/or Travis County. It contains information on the Agency Name, Alias, Main Office Location (i.e., Address, City, State, Zip Code), Agency’s Website, Main Office Phone, COA Vendor Code, Main Office Latitude and Longitude. Due to safety concerns of some vulnerable populations, listed physical main locations are shown if already a matter of public record through any one of the following sources: 1. controller's contract website at https://www.austintexas.gov/financeonline/vendor_connection/search/svname.cfm 2. agency's own website identifies main location 3. the main location is identified within organization’s formal agreement with Austin Public Health If all of the above sources, contain a P O Box, then the PO Box itself is provided - in lieu of the physical location - among the agency’s contact information. In the event an organization provides service delivery outside of its main headquarter location, such additional locations are not listed here. No warranty is made by the City of Austin regarding the specific accuracy, relevance, or completeness of this dataset.
- API data.imls.gov | Last Updated 2019-02-21T22:02:30.000Z
Find key information on main libraries, branches, and bookmobiles, including FSCS IDs, square footage, locale code, and location. These data include imputed values for libraries that did not submit information in the FY 2015 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing. Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2015 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data
NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015data.ny.gov | Last Updated 2018-08-07T23:35:30.000Z
The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
- API data.imls.gov | Last Updated 2017-01-06T20:13:15.000Z
Find key information on main libraries, branches, and bookmobiles, including FSCS IDs, square footage, locale code, and location. <br><br>These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.<br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at <a href="https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data">https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data</a>
Learning Improvement Information Center: Regional Indicators for Household surveys, Coverage, Efficiency, Youth Inactivity and Education Levelsmydata.iadb.org | Last Updated 2019-02-07T23:33:32.000Z
This dataset consists of statistics measuring the educational attainment and average years of schooling of the adult population, how many children are actively participating in the school system, the efficiency of the school system, and youth inactivity. Main indicators: mean years of schooling, educational attainment, attendance rates, out of school children, overage rates, years in school vs schooling years, and youth inactivity. <br><br><b>Click here to access the data: https://mydata.iadb.org/d/m5wm-tpxw</b></br></br>