- 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 Median Earnings?
- What is the Number of Employees?
- What is the Crime incident count?
- What is the Water Area?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
The population count of Post Falls, ID was 30,157 in 2016.
Demographics and Population Datasets Involving Post Falls, ID
- API data.edmonton.ca | Last Updated 2015-07-08T17:26:52.000Z
This was one single topic among many as part of the January Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=185&t=1. Open from January 11 - 20, 2015. At the time the survey was launched survey invitations were sent to 2159 Insight Community Members. 1070 members completed the survey which represents a completion rate of 50%. A total of 1178 respondents completed the survey: 1070 Insight Community Members and 108 using the anonymous link which will have no demographic info.
- API data.montgomerycountymd.gov | Last Updated 2015-06-17T16:53:22.000Z
Age-adjustment mortality rates are rates of deaths that are computed using a statistical method to create a metric based on the true death rate so that it can be compared over time for a single population (i.e. comparing 2006-2008 to 2010-2012), as well as enable comparisons across different populations with possibly different age distributions in their populations (i.e. comparing Hispanic residents to Asian residents). Age adjustment methods applied to Montgomery County rates are consistent with US Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) as well as Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). PHS Planning and Epidemiology receives an annual data file of Montgomery County resident deaths registered with Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). Using SAS analytic software, MCDHHS standardizes, aggregates, and calculates age-adjusted rates for each of the leading causes of death category consistent with state and national methods and by subgroups based on age, gender, race, and ethnicity combinations. Data are released in compliance with Data Use Agreements between DHMH VSA and MCDHHS. This dataset will be updated Annually.
- API data.lacity.org | Last Updated 2016-11-30T06:39:20.000Z
This data comes from the 2010 Census Profile of General Population and Housing Characteristics. Zip codes are limited to those that fall at least partially within LA city boundaries. The dataset will be updated after the next census in 2020. To view all possible columns and access the data directly, visit http://factfinder.census.gov/faces/affhelp/jsf/pages/metadata.xhtml?lang=en&type=table&id=table.en.DEC_10_SF1_SF1DP1#main_content.
- API opendata.fcc.gov | Last Updated 2017-08-15T18:24:22.000Z
FINAL TELEVISION CHANNEL ASSIGNMENT INFORMATION RELATED TO INCENTIVE AUCTION REPACKING. NOTE: This file provides new baseline coverage and population data for all U.S. full power and Class A stations on their post-auction channel. NOTE: DTV TV stations use the transmit coordinates for each facility ID. DTS TV stations will have a single row. These results are based on the 20151020UCM Database, 2015Oct_132Settings.xml study template, and TVStudy version 1.3.2 (patched).
- API data.pa.gov | Last Updated 2017-09-28T18:49:43.000Z
The purpose of the 12-Month Enrollment component of IPEDS is to collect unduplicated enrollment counts of all students enrolled for credit and instructional activity data in postsecondary institutions for an entire 12-month period. Data are collected by level of student and by race/ethnicity and gender. Instructional activity is collected as total credit and/or contact hours attempted at the undergraduate, graduate, and doctor's professional levels. Using the instructional activity data reported, a full-time equivalent (FTE) student enrollment at the undergraduate and graduate level is estimated.
- API chhs.data.ca.gov | Last Updated 2017-02-17T22:10:28.000Z
This table contains data on the percent of population residing within ½ mile of a major transit stop for four California regions and the counties, cities/towns, and census tracts within the regions. The percent was calculated using data from four metropolitan planning organizations (San Diego Association of Governments, Southern California Association of Governments, Metropolitan Transportation Commission, and Sacramento Council of Governments) and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. A strong and sustainable transportation system supports safe, reliable, and affordable transportation opportunities for walking, bicycling, and public transit, and helps reduce health inequities by providing more opportunities for access to healthy food, jobs, health care, education, and other essential services. Active and public transportation promote health by enabling individuals to increase their level of physical activity, potentially reducing the risk of heart disease and obesity, improving mental health, and lowering blood pressure. More information about the data table and a data dictionary can be found in the About/Attachments section.
- API chhs.data.ca.gov | Last Updated 2017-06-14T18:11:25.000Z
This table contains data on the percent of residents aged 25 years and older educational attainment (percent completing high school, associates degree, college or more advanced degree) for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Census Bureau, Decennial Census and American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (https://www.cdph.ca.gov/Programs/OHE/Pages/Healthy-Communities-Data-and-Indicators-Project-(HCI).aspx). Greater educational attainment has been associated with health-promoting behaviors including consumption of fruits and vegetables and other aspects of healthy eating, engaging in regular physical activity, and refraining from excessive consumption of alcohol and from smoking. Completion of formal education (e.g., high school) is a key pathway to employment and access to healthier and higher paying jobs that can provide food, housing, transportation, health insurance, and other basic necessities for a healthy life. Education is linked with social and psychological factors, including sense of control, social standing and social support. These factors can improve health through reducing stress, influencing health-related behaviors and providing practical and emotional support. More information about the data table and a data dictionary can be found in the About/Attachments section.
- API data.iowa.gov | Last Updated 2018-03-29T19:43:06.000Z
Sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2016.
- API data.ny.gov | Last Updated 2018-01-11T14:28:21.000Z
Attributes about each vehicle involved in a crash as reported to NYS DMV
- API health.data.ny.gov | Last Updated 2017-01-24T18:42:09.000Z
There are two datasets related to the State Level Prevention Agenda Tracking Indicators posted on this site. Each dataset consists of 96 state-level health tracking indicators and sub-indicators for the Prevention Agenda 2013-2018: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. Priority areas include Chronic Disease; Health and Safe Environment; Healthy Women, Infants and Children; Mental Health and Substance Abuse; and HIV, STDs, Vaccine Preventable Diseases and Healthcare Associated Infections. The most recent year dataset includes the most recent state level data for all indicators. The trend dataset includes the most recent state level data and historical data, where available. Each dataset also includes the Prevention Agenda 2018 state targets for the indicators. Sub-indicators are included in these datasets to measure health disparities among racial, ethnic, and socioeconomic groups and persons with disabilities.