- What is the Population Rate of Change?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
- What is the Percent Employed?
- What is the Percent with an associate's degree?
- What is the Median Male Earnings?
- What is the College Graduation Rate?
The population count of Rexburg Micro Area (ID) was 51,010 in 2016.
Demographics and Population Datasets Involving Rexburg Micro Area (ID)
- API data.imls.gov | Last Updated 2018-04-20T21:47:48.000Z
Find key information on library systems around the United States. These data include imputed values for libraries that did not submit information in the FY 2016 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 2016 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data
- API data.austintexas.gov | Last Updated 2018-08-21T18:05:36.000Z
The Affordable Housing Inventory includes all income-restricted affordable units in developments funded through the Rental Housing Development Assistance Program, funded through the Acquisition and Development Program since 2007, and incentivized through Development Incentive Programs that are currently affordable. Projects within the AHI have either already been completed or are currently being developed. No warranty is made by the City of Austin regarding the specific accuracy or completeness of this dataset.
- API data.imls.gov | Last Updated 2018-04-20T21:17:28.000Z
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 2016 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 2016 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data
- API data.seattle.gov | Last Updated 2018-11-17T10:12:11.000Z
This data represents crime reported to the Seattle Police Department (SPD). Each row contains the record of a unique event where at least one criminal offense was reported by a member of the community or detected by an officer in the field. This data is the same data used in meetings such as SeaStat (https://www.seattle.gov/police/information-and-data/seastat) for strategic planning, accountability and performance management. These data contain offenses and offense categorization coded to simulate the standard reported to the FBI under the National Incident Based Reporting System (NIBRS) and used to generate Uniform Crime Report (UCR) summary statistics. As these records evolve, daily and are continually refreshed, they will not match official UCR statistics. They represent a more accurate state of the record. Previous versions of this data set have withheld approximately 40% of crimes. This updated process includes all records of crime reports logged in the Departments Records Management System (RMS) since 2008, which are tracked as part of the SeaStat process. In an effort to safeguard the privacy of our community, offense reports will only be located to the “beat” level. Location specific coordinates will no longer be provided. Beats are the most granular unit of management used for patrol deployment. To learn more about patrol deployment, please visit: https://www.seattle.gov/police/about-us/about-policing/precinct-and-patrol-boundaries. In addition to the Departments patrol deployment areas, these data contain the “Neighborhood” where the crime occurred, if available. This coding is used to align crime data with the Micro Community Policing Plan (MCPP). For more information see: https://www.seattle.gov/police/community-policing/about-mcpp. As with any data, certain condition and qualifications apply: 1) These data are refreshed, daily and represent the most accurate, evolved state of the record. 2) Due to quality control processes, these data will lag between 2 and 6 weeks. Most changes will occur within that record and reports logged in the last 2 weeks should be treated as volatile. Analysts may wish to remove these records from their analysis. 3) Not all offenses are reported here, only the primary offense as determined by the “Hierarchy Rule.” For more information on NIBRS and UCR, see the FBI (https://ucr.fbi.gov/nibrs-overview). 4) This dataset contains records of offenses that occurred prior to “go-live” of the existing RMS. Records are queried based on the full population of data and are not constrained by “Occurred Date.” We invite you to engage these data, ask questions and explore.
Feed the Future Nepal Baseline Household Survey, Women's Empowerment in Agriculture Index-Household Filedata.usaid.gov | Last Updated 2018-11-13T05:23:38.000Z
The Nepal Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 20 districts across the western, mid-western and far-western development regions of the country. This file reports household level data from the Women's Empowerment in Agriculture Index (WEAI). The WEAI measures the empowerment, agency, and inclusion of women in the agriculture sector in an effort to identify and address the constraints that limit women’s full engagement in the agriculture sector.
Feed the Future Nepal Interim Survey in the Zone of Influence, Women's Empowerment in Agriculture Index-File 1data.usaid.gov | Last Updated 2018-11-11T22:52:13.000Z
Feed the Future Nepal Interim Survey in the Zone of Influence: This dataset (n=800, var=163) is the first of two datasets needed to calculate the WEAI-related measures. It is a household-level file and contains the records for Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).
- API data.usaid.gov | Last Updated 2018-11-13T05:23:38.000Z
The Nepal Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 20 districts across the western, mid-western and far-western development regions of the country. This file reports data reported by women survey participants.
- API data.usaid.gov | Last Updated 2018-11-11T20:05:57.000Z
The Zambia Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in five districts — Chipata, Katete, Lundazi, Nyimba, and Petauke in Zambia. This is one of two files used to construct the Women's Empowerment in Agriculture Index.
Feed the Future Uganda Interim Survey in the Zone of Influence, Women's Empowerment in Agriculture Index-Recode Filedata.usaid.gov | Last Updated 2018-11-13T16:27:38.000Z
Feed the Future Uganda Interim Survey in the Zone of Infuence: This dataset (n=664, vars=162) contains the analytical variables derived in the WEAI analysis.
- API data.energystar.gov | Last Updated 2018-11-17T14:17:05.000Z
Certified models meet all ENERGY STAR requirements as listed in the Version 2.1 ENERGY STAR Program Requirements for Enterprise Servers that are effective as of December 16, 2013. A detailed listing of key efficiency criteria are available at https://cmadmin.energystar.gov/products/office_equipment/enterprise_servers.