This excel contains results from the 2017 State of Narragansett Bay and Its Watershed Technical Report (nbep.org), Chapter 4: "Population." The methods for analyzing population were developed by the US Environmental Protection Agency ORD Atlantic Coastal Environmental Sciences Division in collaboration with the Narragansett Bay Estuary Program and other partners. Population rasters were generated using the USGS dasymetric mapping tool (see http://geography.wr.usgs.gov/science/dasymetric/index.htm) which uses land use data to distribute population data more accurately than simply within a census mapping unit. The 1990, 2000, and 2010 10m cell population density rasters were produced using Rhode Island state land use data, Massachusetts state land use, Connecticut NLCD land use data, and U.S. Census data. To generate a population estimate (number of persons) for any given area within the boundaries of this raster, NBEP used the the Zonal Statistics as Table tool to sum the 10m cell density values within a given zone dataset (e.g., watershed polygon layer). Results presented include population estimates (1990, 2000, 2010) as well as calculation of percent change (1990-2000;2000-2010;1990-2010).

About this dataset

Context

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

Key observations

With a zero Hispanic population, Excel is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 425 (84.33% 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 Excel
• Population: The population of the racial category (for Non-Hispanic) in the Excel is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Excel 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 Excel Population by Race & Ethnicity. You can refer the same here

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

About this dataset

Context

The dataset tabulates the data for the Excel, AL population pyramid, which represents the Excel 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 Excel, AL, is 61.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Excel, AL, is 26.9.
• Total dependency ratio for Excel, AL is 88.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Excel, AL is 3.7.

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 Excel population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Excel for the selected age group is shown in the following column.
• Population (Female): The female population in the Excel for the selected age group is shown in the following column.
• Total Population: The total population of the Excel 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 Excel Population by Age. You can refer the same here

The 1986 Census was the first mid-decade census to undertake detailed enumeration. Data on demographic, social and economic characteristics, as well as on dwellings, were collected from Canadians. The information is recorded on two data bases, the 100% data base and the 20% sample data base. The 100% data bases includes general demographic, dwelling and household data (for example: age, sex, marital status, mother tongue and structural type of dwelling) collected from the entire population. The 20% sample data base includes the general demographic data, detailed socio-economic data (for example: ethnic origin, labour force activity, schooling, income and dwellings information) collected from one-fifth of the population. The range of the 1986 Census products and services differs somewhat from the 1981 Census. The major changes are: A 40% reduction in the number of publications The replacement of the 1981 Census Summary Tapes program by the Basic Summary Cross-Tabulations Improvements in the Custom Tabulations Service The implementation of a new Semi-Custom product line Focus series is the aggregate statistics (multi-variate cross-tabulations) at census subdivision, census tract, and enumeration area levels. These 7 tables do not correspond to the print Focus series print publications. At present, EA-level tables are available on CD-ROM only.

Context

This file is a combination of individual excel sheets published by the Federal Reserve Bank of St. Louis. It contains annual population counts for all 50 states & D.C. from 1900-2017.

Content

The population counts in this sheet represent counts in millions.

Acknowledgements

Source: https://fred.stlouisfed.org/release?rid=118&t=state&ob=pv&od=desc

About this dataset

Context

The dataset tabulates the data for the Excel, AL population pyramid, which represents the Excel 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 Excel, AL, is 40.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Excel, AL, is 25.8.
• Total dependency ratio for Excel, AL is 65.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Excel, AL is 3.9.

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 Excel population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Excel for the selected age group is shown in the following column.
• Population (Female): The female population in the Excel for the selected age group is shown in the following column.
• Total Population: The total population of the Excel 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 Excel Population by Age. You can refer the same here

The Nation is the series of basic data from the 1991 Census, providing national coverage. This series covers characteristics of the population, including demographic, social, cultural, labour force and income variables as well as details on dwellings, households and families. Generally the data are represented for Canada, provinces, territories and census metropolitan areas. Some tables include comparisons with data from earlier censuses. The aggregate data tables are presented in Beyond 20/20 Format (.ivt).

Statistical Area Level of Education of Population Aged 15 and Over_ Secondary Release Area, Statistical Area Level of Education of Population Aged 15 and Over_ Primary Release Area, Statistical Area Level of Education of Population Aged 15 and Over_ Minimum Statistical AreaThe Ministry of the Interior's Statistics Department provides the latest annual statistical data for various counties and cities on the Government Open Data Platform in XML format. When viewed in a browser, it appears as a series of characters and numbers. Typically, this format is suitable for programmers to develop applications using the data, rather than being random characters. If you wish to download the data in CSV format (which can be viewed in Excel), please refer to the Social Economic Data Service Platform on the Land Information System website (segis.moi.gov.tw) for downloading.

About this dataset

Context

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

Key observations

The percent distribution of Excel township population by race (across all racial categories recognized by the U.S. Census Bureau): 97.07% are white, 1.47% are American Indian and Alaska Native and 1.47% 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 Excel township
• Population: The population of the racial category (excluding ethnicity) in the Excel township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Excel township 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 Excel township Population by Race & Ethnicity. You can refer the same here

EN: The dataset is based on tables with detailed data for municipalities and boroughs of the population census and the occupational census of the Netherlands 1947. These detailed tables from the archive of Statistics Netherlands never have been published. They are written on so-called ‘transparanten’, sheets in A4-format. The set contains more than 35 table-types, some of which spread over two or more sheets, some combined on one sheet.Image scans of the detailed tables have been made in February 2005. Those scans, 29489 in total were published on www.volkstellingen.nl, ordered by province and municipality. In a later stage the scans have been converted by data-entry to Excel worksheets. In most cases one scan has been converted to one Excel file. However, if a scan contains two or more tables, a separate Excel file is made for each table. The Excel files also have been converted to CSV-text files.The thematic collection: 12th Population Census 31 May 1947 contains 11 datasets for the provinces plus one dataset for the Netherlands as a whole. The documentation for any dataset in the collection contains a description of the contents of all table-types and the instruction given for data-entry.This dataset regards the files of the province Friesland. The files are grouped by municipality. General files for the province Friesland are contained in the dataset for the Netherlands as a whole.The metadata per file (details) contains the table number. An overview of table numbers by file is contained in ‘Table number per scan_Friesland.csv’. This applies for the scans as well as the Excel files and the CSV-text files. The file 'Titles of Tables' shows the table numbers with the corresponding titles of the tables.NL: De dataset is gebaseerd op gedetailleerde tabellen op plaatselijk en wijkniveau van de Volks- en Beroepstellingen 1947. Deze gedetailleerde tabellen uit het CBS-archief zijn nooit gepubliceerd. Zij stonden op perkamentachtig papier (‘transparanten’) in A4-formaat. Het betreft meer dan 35 tabeltypen, waarvan sommige per tabel op één transparant, sommige per tabel gespreid over twee of meer transparanten (afhankelijk van de grootte van de gemeente) en enkele met twee of drie tabellen op één transparant.Van deze gedetailleerde tabellen zijn in februari 2005 tijdens de Landelijke Contactdag Document Management image scans gemaakt in JPEG-formaat. De in totaal 29489 scans zijn in eerste instantie opgenomen op de website www.volkstellingen.nl, geordend per provincie en gemeente. Later zijn de scans met data-entry overgenomen in Excelbestanden. In principe is van elke scan één Excelbestand gemaakt. Alleen als een scan twee of meer tabellen bevat, is van elke tabel een afzonderlijk Excelbestand gemaakt. De Excelbestanden zijn ook geconverteerd naar CSV-tekstbestanden.De collectie datasets ‘Volks- en Beroepentellingen 1947’ bestaat uit 11 datasets voor de provincies plus een dataset voor Nederland als geheel. De documentatie voor alle datasets in deze collectie omvat onder meer een beschrijving van de inhoud van elk tabeltype en de instructies die zijn gegeven voor de data-entry.Deze dataset betreft de bestanden van de provincie Friesland. De bestanden zijn ingedeeld per gemeente. Algemene bestanden over de provincie Friesland bevinden zich in de dataset voor Nederland als geheel.De metadata per bestand (details) bevat het tabelnummer. Een overzicht met het tabelnummer per bestand staat in ‘Table number per scan_Friesland.csv’. Dat is ook van toepassing op de bijbehorende Excelbestanden en CSV-tekstbestanden. Het bestand 'Titles of Tables' geeft een overzicht van de tabelnummers met de bijbehorende tabelnamen. Dit bestand is beschikbaar gesteld als pdf-document en als CSV-tekstbestand.

Annual Demographic Statistics contains the following data: population estimates by age and sex for Canada, the provinces, territories, census divisions and census metropolitan areas; estimates by age, sex and marital status for the provinces and territories; and estimates of the number of census families for Canada, the provinces and territories, by type of family (husband-wife, lone-parent), size of family, age of children and age and sex of parents. It also includes statistics for the demographic components that were used to produce the population estimates (births, deaths, marriages, divorces, immigration, total emigration, internal migrations and non permanent residents) by age and sex. In addition, there are highlights of current demographic trends and a description of the methodology; population data from 1971 for provinces and territories, and from 1986 for census divisions and census metropolitan areas; and animated age pyramids, which illustrate the aging of the population. Continued by Demographic Estimates Compendium.

Excel Age-Range creator for 2001 and 2011 Census population figures. This Excel-based tool enables users to query the single year of age raw data so that any age range can easily be calculated without having to carry out often complex, and time consuming formulas that could also be open to human error. Simply select the lower and upper age range for both males and females and the spreadsheet will return the total population for the range. This file uses the single year of age data from the 2011 Census released on 24 September 2012, which was available for all Local Authorities. The ward data is currently modelled data for sex, based on single year of age data from Table qs103ew. The final data will be inserted into the tool when it is released in summer 2013. Also included are the 2001 Census figures for comparison. This tool was created by the GLA Intelligence Unit. A seperate Custom Age-Range Tool for Census 2011 Workday population is available below. This is for local authorities and higher geographies only. Download data from ONS website

CCRI Selected Published Tables Data Files: For each census from 1911-1951, a series of published volumes and tables were produced by the Dominion of Canada’s statistical agency. From those published books, the CCRI made a selection of 23 tables which contain information regarding particular topics such as: population (male and female counts), number of dwellings, households and families, as well as religion and origin of the people. For 1921, selected tables from published volumes (1) included: Population, Canadian, British and Foreign born, classified by sex for counties or census divisions, 1921 Population classified according to principal origins of the people by counties or census divisions, 1921 Population classified according to principal religions of the people by counties or census divisions, 1921 Dwellings and households, classified as rural and urban, for counties or census divisions, 1921

These estimates take into account the counts of the 2006 Census,adjusted for net census undercoverage and are based on the 2006 Standard Geographical Classification (SGC). The publication includes statistics for the demographic components that were used to produce the population estimates (births, deaths, marriages, divorces, immigration, emigration, net temporary emigration, returning emigration, internal migration and non-permanent residents) by age and sex. In addition, the publicat ion contains highlights of current demographic trends and a description of the methodology. It also provides additional data such as a chronological series of estimates by various levels of geography. With regard to provinces and territories, the estimates date back to 1971 (tables and animated age pyramid), 1996 for census divisions, census metropolitan areas and economic regions as well as census families. Note that the title of this product has changed for the 2008/09 edition, which is called Canada's Demographic Estimates.

National and subnational mid-year population estimates for England and Wales by administrative area, age and sex (including components of population change, median age and population density).

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

Introduction

We are enclosing the database used in our research titled "Concentration and Geospatial Modelling of Health Development Offices' Accessibility for the Total and Elderly Populations in Hungary", along with our statistical calculations. For the sake of reproducibility, further information can be found in the file Short_Description_of_Data_Analysis.pdf and Statistical_formulas.pdf

The sharing of data is part of our aim to strengthen the base of our scientific research. As of March 7, 2024, the detailed submission and analysis of our research findings to a scientific journal has not yet been completed.

The dataset was expanded on 23rd September 2024 to include SPSS statistical analysis data, a heatmap, and buffer zone analysis around the Health Development Offices (HDOs) created in QGIS software.

Short Description of Data Analysis and Attached Files (datasets):

Our research utilised data from 2022, serving as the basis for statistical standardisation. The 2022 Hungarian census provided an objective basis for our analysis, with age group data available at the county level from the Hungarian Central Statistical Office (KSH) website. The 2022 demographic data provided an accurate picture compared to the data available from the 2023 microcensus. The used calculation is based on our standardisation of the 2022 data. For xlsx files, we used MS Excel 2019 (version: 1808, build: 10406.20006) with the SOLVER add-in.

Hungarian Central Statistical Office served as the data source for population by age group, county, and regions: https://www.ksh.hu/stadat_files/nep/hu/nep0035.html, (accessed 04 Jan. 2024.) with data recorded in MS Excel in the Data_of_demography.xlsx file.

In 2022, 108 Health Development Offices (HDOs) were operational, and it's noteworthy that no developments have occurred in this area since 2022. The availability of these offices and the demographic data from the Central Statistical Office in Hungary are considered public interest data, freely usable for research purposes without requiring permission.

The contact details for the Health Development Offices were sourced from the following page (Hungarian National Population Centre (NNK)): https://www.nnk.gov.hu/index.php/efi (n=107). The Semmelweis University Health Development Centre was not listed by NNK, hence it was separately recorded as the 108th HDO. More information about the office can be found here: https://semmelweis.hu/egeszsegfejlesztes/en/ (n=1). (accessed 05 Dec. 2023.)

Geocoordinates were determined using Google Maps (N=108): https://www.google.com/maps. (accessed 02 Jan. 2024.) Recording of geocoordinates (latitude and longitude according to WGS 84 standard), address data (postal code, town name, street, and house number), and the name of each HDO was carried out in the: Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file.

The foundational software for geospatial modelling and display (QGIS 3.34), an open-source software, can be downloaded from:

https://qgis.org/en/site/forusers/download.html. (accessed 04 Jan. 2024.)

The HDOs_GeoCoordinates.gpkg QGIS project file contains Hungary's administrative map and the recorded addresses of the HDOs from the

Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file,

imported via .csv file.

The OpenStreetMap tileset is directly accessible from www.openstreetmap.org in QGIS. (accessed 04 Jan. 2024.)

The Hungarian county administrative boundaries were downloaded from the following website: https://data2.openstreetmap.hu/hatarok/index.php?admin=6 (accessed 04 Jan. 2024.)

HDO_Buffers.gpkg is a QGIS project file that includes the administrative map of Hungary, the county boundaries, as well as the HDO offices and their corresponding buffer zones with a radius of 7.5 km.

Heatmap.gpkg is a QGIS project file that includes the administrative map of Hungary, the county boundaries, as well as the HDO offices and their corresponding heatmap (Kernel Density Estimation).

A brief description of the statistical formulas applied is included in the Statistical_formulas.pdf.

Recording of our base data for statistical concentration and diversification measurement was done using MS Excel 2019 (version: 1808, build: 10406.20006) in .xlsx format.

• Aggregated number of HDOs by county: Number_of_HDOs.xlsx
• Standardised data (Number of HDOs per 100,000 residents): Standardized_data.xlsx
• Calculation of the Lorenz curve: Lorenz_curve.xlsx
• Calculation of the Gini index: Gini_Index.xlsx
• Calculation of the LQ index: LQ_Index.xlsx
• Calculation of the Herfindahl-Hirschman Index: Herfindahl_Hirschman_Index.xlsx
• Calculation of the Entropy index: Entropy_Index.xlsx
• Regression and correlation analysis calculation: Regression_correlation.xlsx

Using the SPSS 29.0.1.0 program, we performed the following statistical calculations with the databases Data_HDOs_population_without_outliers.sav and Data_HDOs_population.sav:

• Regression curve estimation with elderly population and number of HDOs, excluding outlier values (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_elderly_without_outlier.spv
• Pearson correlation table between the total population, elderly population, and number of HDOs per county, excluding outlier values such as Budapest and Pest County: Pearson_Correlation_populations_HDOs_number_without_outliers.spv.
• Dot diagram including total population and number of HDOs per county, excluding outlier values such as Budapest and Pest Counties: Dot_HDO_total_population_without_outliers.spv.
• Dot diagram including elderly (64<) population and number of HDOs per county, excluding outlier values such as Budapest and Pest Counties: Dot_HDO_elderly_population_without_outliers.spv
• Regression curve estimation with total population and number of HDOs, excluding outlier values (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_without_outlier.spv
• Dot diagram including elderly (64<) population and number of HDOs per county: Dot_HDO_elderly_population.spv
• Dot diagram including total population and number of HDOs per county: Dot_HDO_total_population.spv
• Pearson correlation table between the total population, elderly population, and number of HDOs per county: Pearson_Correlation_populations_HDOs_number.spv
• Regression curve estimation with total population and number of HDOs, (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_total_population.spv

For easier readability, the files have been provided in both SPV and PDF formats.

The translation of these supplementary files into English was completed on 23rd Sept. 2024.

If you have any further questions regarding the dataset, please contact the corresponding author: domjan.peter@phd.semmelweis.hu

The statistical area statistics of the marital status of the population aged 15 and over in the second-level release area, the statistical area statistics of the marital status of the population aged 15 and over in the first-level release area, and the statistical area statistics of the marital status of the population aged 15 and over in the smallest statistical areaThe Ministry of the Interior Statistical Bureau provides the latest annual statistical data for each county and city on the government's data open platform in XML format. When viewed in a browser, it appears as a series of text and numbers, which is typically suitable for programmers to develop programs for data applications rather than appearing as garbled code. If you want to download the data in CSV format (viewable in Excel), you can visit the social and economic data service platform on the social and economic database grouping webpage of the National Land Information System (segis.moi.gov.tw) for downloading.

Graph and download economic data for Population, Total for United States (POPTOTUSA647NWDB) from 1960 to 2024 about population and USA.