The population rate of change of Allegany County, MD was -0.85% in 2018.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Demographics and Population Datasets Involving Allegany County, MD

  • API

    Choose Maryland: Compare Counties - Demographics

    opendata.maryland.gov | Last Updated 2019-12-13T12:53:02.000Z

    Population profile - total, rate of change, age, and density.

  • API

    Maryland Resident Population Per Square Mile: 2010-2019

    opendata.maryland.gov | Last Updated 2020-09-02T21:55:43.000Z

    Resident population density for Maryland and Jurisdictions per square mile from 2010 to 2019. Source: U.S. Bureau of Census

  • API

    Maryland Median Household Income By Year With Margin Of Error: 2010-2018

    opendata.maryland.gov | Last Updated 2020-09-29T23:27:48.000Z

    The data consist of the median household income by the year in Maryland and the margin of error of the median income from 2010-2018. MOE= Margin of Error for the 90% confidence interval. Source from the U.S. Census Bureau, Small Area Income and Poverty Estimates, May 2019.

  • API

    Maryland Total Change in Resident Population: 2010-2019

    opendata.maryland.gov | Last Updated 2020-08-27T21:49:44.000Z

    Total Change in Resident Population in Maryland and its Jurisdictions by year from 2010 to 2019

  • API

    Maryland Domestic Migration: 2001-2019

    opendata.maryland.gov | Last Updated 2020-08-28T23:36:47.000Z

    Domestic Migration in Maryland and its Jurisdictions from 2001 to 2019. Domestic migration will also include the net change in group quarters population, source: Population Division, U.S. Census bureau, March 2020.

  • API

    Maryland International Migration: 2001-2019

    opendata.maryland.gov | Last Updated 2020-08-28T23:28:23.000Z

    Maryland International Migration from 2001 to 2019, which includes net foreign-born international migration, net movement to/ from Puerto Rico, net Armed Forces movement and native emigration. Source from the Population Division, U.S. Census Bureau, March 2020.

  • API

    Population Estimates 2010-2019

    opendata.maryland.gov | Last Updated 2020-08-27T22:10:54.000Z

    Maryland Total Resident Population from 2010 - 2019 based on US Census Data

  • API

    COVID-19 Vaccinations by Town

    data.ct.gov | Last Updated 2021-04-08T20:37:02.000Z

    A summary of COVID-19 vaccination coverage in Connecticut by town. Records without an address could not be included in town vaccine coverage estimates. Total population estimates are based on 2019 data. A person who has received one dose of any vaccine is considered to have received at least one dose. A person is considered fully vaccinated if they have received 2 doses of the Pfizer or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the number who have received at least one dose. The number with At Least One Dose and the number Fully Vaccinated add up to more than the total number of doses because people who received the Johnson & Johnson vaccine fit into both categories. SVI refers to the CDC's Social Vulnerability Index - a measure that combines 15 demographic variables to identify communities most vulnerable to negative health impacts from disasters and public health crises. Measures of social vulnerability include socioeconomic status, household composition, disability, race, ethnicity, language, and transportation limitations - among others. Towns with a "yes" in the "Has SVI tract >0.75" field are those that have at least one census tract that is in the top quartile of vulnerability (e.g., a high-need area). 34 towns in Connecticut have at least one census tract in the top quartile for vulnerability. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

  • API

    Maryland Total Migration: 2000-2019

    opendata.maryland.gov | Last Updated 2020-09-01T03:04:40.000Z

    Maryland Total (International and Domestic) Migration from 2000 to 2019. Source from the Population Division, U.S. Census Bureau.

  • API

    Population Health Measures: Age-Adjusted Mortality Rates

    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.