The population rate of change of Indiana was 0.35% in 2018.


Population Change

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

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Demographics and Population Datasets Involving Indiana

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    NYCHA Resident Data Book Summary | Last Updated 2020-02-08T00:56:30.000Z

    Contains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.

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    Bronx Zip Population and Density | Last Updated 2012-10-21T14:06:17.000Z

    2010 Census Data on population, pop density, age and ethnicity per zip code

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    Census Demographics (2010-2014) | Last Updated 2017-02-06T04:55:23.000Z

    Census data are frequently used throughout Vital Signs as denominators for normalizing many other indicators and rates. The socioeconomic and demographic indicators are grouped into the following categories: population, race/ethnicity, age, households, and income and poverty.

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    Provisional Death Counts for Coronavirus Disease (COVID-19): Weekly State-Specific Data Updates | Last Updated 2020-07-01T18:10:14.000Z

    This report provides a weekly summary of deaths with coronavirus disease 2019 (COVID-19) by select geographic and demographic variables. In this release, counts of deaths are provided by the race and Hispanic origin of the decedent. Topics will be added to the release as they become available. These provisional counts are based on a current flow of mortality data in the National Vital Statistics System. National provisional counts include deaths occurring within the 50 states and the District of Columbia that have been received and coded as of the date specified. Data shown on this page may be incomplete and will likely not include all deaths that occurred during a given time period, especially for the more recent time periods. Data on this page are revised weekly and may increase or decrease as new and updated death certificate data are received from the states by NCHS. COVID-19 death counts shown here may differ from other published sources, as data currently are lagged by an average of 1–2 weeks. Weighted population distributions more accurately reflect race/ethnic distributions of the geographic locations where COVID outbreaks are occurring (see below for the methods used to calculate weighted percentages). The weighted population distributions ensure that the population estimates and percentages of COVID-19 deaths represent comparable geographic areas, in order to provide information about whether certain racial and ethnic subgroups are experiencing a disproportionate burden of COVID-19 mortality. See Table 2 below for unweighted populations. Estimated distributions of COVID-19 deaths and population size by race and Hispanic origin The percentages of COVID-19 deaths by race and Hispanic origin were calculated by dividing the number of COVID-19 deaths for each race and Hispanic origin group by the total number of COVID-19 deaths. Percentages may not sum to 100 due to rounding. The distribution of deaths involving COVID-19 by race/ethnicity should not be compared to the race/ethnicity distribution of the U.S. population because COVID-19 deaths are concentrated in certain geographic locations where the racial and ethnic population distribution differs from that of the United States overall. Additionally, COVID-19 deaths are concentrated in certain areas within states, and it is therefore not appropriate to compare the percent of COVID-19 deaths by race/ethnicity to the racial/ethnic population distribution of a given state. To make the estimated population distribution more comparable to the geographic areas where COVID-19 deaths are occurring, weighted population distributions are provided in this report. The weighted population distributions were calculated as follows. County-level population counts by race and Hispanic origin were multiplied by the corresponding total count of COVID-19 deaths by county (of residence). These weighted counts were then summed to the state (or national) level. The percentage of the population within each race and Hispanic origin group by state (or for the U.S.) was then estimated using these weighted counts. Counties with no COVID-19 deaths received a weight of zero, and thus do not contribute to the weighted population totals. Population counts for counties with large numbers of COVID-19 deaths are upweighted proportional to their numbers of COVID-19 deaths. These weighted population distributions ensure that the population estimates and percentages of COVID-19 deaths represent comparable geographic areas, in order to provide information about whether certain racial and ethnic subgroups are experiencing a disproportionate burden of COVID-19 mortality. For example, assume that 75% of the total number of COVID deaths occurred in a single county, County X, while the other 25% of COVID deaths occurred in County Y, and all other counties reported zero deaths. The weighted population counts for County X would contribute 75% of the total population counts, while the population counts for Count

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    Census Demographics 2010 | Last Updated 2017-02-06T04:44:33.000Z

    BNIA-JFI analyzed data from the Census to provide greater understandingof the socioeconomic and demographic characteristics of the residents of the City and its neighborhoods . BNIA-JFI also used this data as denominators for many of the Vital Signs indicators allowing for data to be normalized and rates to be computed. Census data analyzed by BNIA-JFI is grouped into the following categories: population, race and ethnicity; households and families; and income.

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    New York State Population Data: Beginning 2003 | Last Updated 2019-09-30T15:01:56.000Z

    Population data file is provided as an additional reference file when interpreting vital statistics death rates. The population data is derived from the corresponding release of the NCHS annual estimates of "Bridged Race Vintage" which are consistent with the Bureau of the Census estimates from "Vintage" (released in the summer). For more information, check out: The "About" tab contains additional details concerning this dataset.

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    Census Data - Selected socioeconomic indicators in Chicago, 2008 – 2012 | Last Updated 2014-09-12T20:56:56.000Z

    This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” by Chicago community area, for the years 2008 – 2012. The indicators are the percent of occupied housing units with more than one person per room (i.e., crowded housing); the percent of households living below the federal poverty level; the percent of persons in the labor force over the age of 16 years that are unemployed; the percent of persons over the age of 25 years without a high school diploma; the percent of the population under 18 or over 64 years of age (i.e., dependency); and per capita income. Indicators for Chicago as a whole are provided in the final row of the table. See the full dataset description for more information at:\EPI\OEPHI\MATERIALS\REFERENCES\ECONOMIC_INDICATORS\Dataset_Description_socioeconomic_indicators_2012_FOR_PORTAL_ONLY.pdf

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    WAOFM - Census - Population and Housing, 2000 and 2010 | Last Updated 2016-08-09T16:23:33.000Z

    Population and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 2000 and 2010.

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    2016 Census - Population by Household Income (Neighbourhood/Ward) | Last Updated 2019-07-17T17:08:34.000Z

    All Census information is as of April 1, 2016. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 50 are not posted to protect the information collected. Responses are voluntary consequently response rates vary among questions, neighbourhoods and wards.

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    Hospital Inpatient Prevention Quality Indicators (PQI) for Adult Discharges by Zip Code (SPARCS): Beginning 2009 | Last Updated 2018-03-16T12:36:59.000Z

    This dataset is one of two datasets that contain observed and expected rates for Agency for Healthcare Research and Quality Prevention Quality Indicators – Adult (AHRQ PQI) beginning in 2009. The observed rates and expected rates for each AHRQ PQI is presented by either resident county (including a statewide total) or resident zip code (including a statewide total).