About this dataset

Context

The dataset tabulates the Non-Hispanic population of Florence by race. It includes the distribution of the Non-Hispanic population of Florence across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Florence across relevant racial categories.

Key observations

Of the Non-Hispanic population in Florence, the largest racial group is White alone with a population of 25,969 (86.03% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Florence
• Population: The population of the racial category (for Non-Hispanic) in the Florence is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Florence total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florence Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Florence, KY population pyramid, which represents the Florence population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Florence, KY, is 24.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Florence, KY, is 32.5.
• Total dependency ratio for Florence, KY is 57.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Florence, KY is 3.1.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Florence population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Florence for the selected age group is shown in the following column.
• Population (Female): The female population in the Florence for the selected age group is shown in the following column.
• Total Population: The total population of the Florence for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florence Population by Age. You can refer the same here

Comprehensive demographic dataset for Florence, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the Florence population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Florence across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Florence was 32,917, a 0.96% increase year-by-year from 2022. Previously, in 2022, Florence population was 32,603, an increase of 0.84% compared to a population of 32,331 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Florence increased by 9,261. In this period, the peak population was 33,026 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Florence is shown in this column.
• Year on Year Change: This column displays the change in Florence population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florence Population by Year. You can refer the same here

U.S. Census Bureau QuickFacts statistics for Florence city, Kentucky. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Comprehensive demographic dataset for Hearthstone, Florence, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the population of Florence by race. It includes the population of Florence across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Florence across relevant racial categories.

Key observations

The percent distribution of Florence population by race (across all racial categories recognized by the U.S. Census Bureau): 81.40% are white, 6% are Black or African American, 3.54% are Asian, 3.29% are some other race and 5.76% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Florence
• Population: The population of the racial category (excluding ethnicity) in the Florence is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Florence total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florence Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Florence population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Florence across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Florence was 32,618, a 0.87% increase year-by-year from 2021. Previously, in 2021, Florence population was 32,337, an increase of 0.85% compared to a population of 32,064 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Florence increased by 8,962. In this period, the peak population was 33,026 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Florence is shown in this column.
• Year on Year Change: This column displays the change in Florence population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florence Population by Year. You can refer the same here

Comprehensive demographic dataset for Forest Springs North, Louisville, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Sherwood Lakes, Florence, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Pleasant Valley Acres, Florence, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The geodatabases include feature class layers of information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). The geodatabases do not contain any sensitive data. The 2015 TIGER Geodatabases are designed for use with Esriâ s ArcGIS.

        The 2015 State Geodatabase for Kentucky contains multiple layers. These layers are the Block, Block Group, Census Designated Place, Census Tract,
        Consolidated City, County, County Subdivision and Incorporated Place layers.

        Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered
        within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same
        decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that
        census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and
        Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses
        county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban
        areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release are
        those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. 

        An incorporated place, or census designated place, is established to provide governmental functions for a concentration of people as opposed to a
        minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places
        always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village,
        or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated
        places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally
        incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local,
        and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP
        boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in
        an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some
        housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2013, as reported through the Census
        Bureau's Boundary and Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also
        included. The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010
        Census.

        The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to
        previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people.
        When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living
        conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by
        highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to
        population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable
        features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to
        allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and
        county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may
        consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities
        that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that
        include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American
        Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little
        or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial
        park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. 

         A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have
        merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the
        county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other
        incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated
        government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places
        within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any
        other place. The boundaries of the consolidated cities are those as of January 1, 2013, as reported through the Census Bureau's Boundary and
        Annexation Survey(BAS).

        The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no
        counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The
        latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri,
        Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary
        divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data
        presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data
        presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto
        Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin
        Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for
        counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and Annexation Survey
        (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.

        County subdivisions are the primary divisions of counties and

Data Description: This dataset contains information on the Cincinnati Health Department's (CHD) Creating Healthy Communities Coalition (CHCC). Creating Health Communities is an Ohio Department of Health (ODH) program. This dataset has the location and estimated number of people impacted by CHCC activities implemented in 2015-2017. For more information, visit https://www.cincinnati-oh.gov/health/cincinnati-health-department-divisions1/environmental-health/health-promotion-worksite-wellness/

Disclaimers: The CHCC dashboard includes data from outside the city limits, including Northern Kentucky, Hamilton County, Columbus area, and Dayton area, for the following measures: UDF Healthy Food Retail, Produce Perks, and Tobacco Free Policies.

A residential population may be impacted by multiple PSE changes, due to the location of various PSE changes. For example, in 2015 the Stanley Rowe Senior Citizens population was impacted by a Crime Prevention Through Environmental Design PSE change. The same population was impacted again in 2016 with a Smoke-free Policy change.

Data Creation: The Cincinnati Health Department provides updates on each CHCC activity impacting Cincinnati residents

Data Created By: Cincinnati Health Department

Refresh Frequency: Daily

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/5ygy-4y6j

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

About this dataset

Context

The dataset tabulates the North Middletown population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of North Middletown across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of North Middletown was 603, a 0.82% decrease year-by-year from 2021. Previously, in 2021, North Middletown population was 608, a decline of 0.16% compared to a population of 609 in 2020. Over the last 20 plus years, between 2000 and 2022, population of North Middletown decreased by 39. In this period, the peak population was 659 in the year 2015. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the North Middletown is shown in this column.
• Year on Year Change: This column displays the change in North Middletown population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North Middletown Population by Year. You can refer the same here

Comprehensive demographic dataset for Saddlebrook Farms, Florence, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Boone Valley Estates - Pleasant Valley, Florence, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the data for the Florence, KY population pyramid, which represents the Florence population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Florence, KY, is 28.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Florence, KY, is 26.9.
• Total dependency ratio for Florence, KY is 55.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Florence, KY is 3.7.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Florence population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Florence for the selected age group is shown in the following column.
• Population (Female): The female population in the Florence for the selected age group is shown in the following column.
• Total Population: The total population of the Florence for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florence Population by Age. You can refer the same here

This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

About this dataset

Context

The dataset tabulates the Florence population by age. The dataset can be utilized to understand the age distribution and demographics of Florence.

Content

The dataset constitues the following three datasets

• Florence, KY Age Group Population Dataset: A complete breakdown of Florence age demographics from 0 to 85 years, distributed across 18 age groups
• Florence, KY Age Cohorts Dataset: Children, Working Adults, and Seniors in Florence - Population and Percentage Analysis
• Florence, KY Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Comprehensive demographic dataset for Plantation Pointe, Florence, KY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.