Graph and download economic data for Unemployment Rate in The Villages, FL (MSA) (LAUMT124554000000003) from Jan 1990 to Dec 2024 about The Villages, FL, household survey, unemployment, rate, and USA.

About this dataset

Context

The dataset tabulates the The Village 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 The Village 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 The Village was 9,368, a 0.46% decrease year-by-year from 2022. Previously, in 2022, The Village population was 9,411, a decline of 0.83% compared to a population of 9,490 in 2021. Over the last 20 plus years, between 2000 and 2023, population of The Village decreased by 796. In this period, the peak population was 10,164 in the year 2000. 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 The Village is shown in this column.
• Year on Year Change: This column displays the change in The Village 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 The Village Population by Year. You can refer the same here

U.S. Census Bureau QuickFacts statistics for The Villages CDP, Florida. 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.

About this dataset

Context

The dataset tabulates the population of The Village by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for The Village. The dataset can be utilized to understand the population distribution of The Village by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in The Village. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for The Village.

Key observations

Largest age group (population): Male # 25-29 years (765) | Female # 25-29 years (847). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the The Village population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the The Village is shown in the following column.
• Population (Female): The female population in the The Village is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in The Village for each age group.

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 The Village Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of The Village population by race (across all racial categories recognized by the U.S. Census Bureau): 71.18% are white, 7.87% are Black or African American, 3.23% are American Indian and Alaska Native, 0.62% are Asian, 5.14% are some other race and 11.95% 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 The Village
• Population: The population of the racial category (excluding ethnicity) in the The Village is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of The Village 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 The Village Population by Race & Ethnicity. You can refer the same here

Demographics......................................

About this dataset

Context

The dataset tabulates the data for the The Village, OK population pyramid, which represents the The Village 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 The Village, OK, is 17.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for The Village, OK, is 24.9.
• Total dependency ratio for The Village, OK is 42.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for The Village, OK is 4.0.

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

Graph and download economic data for All Employees: Total Nonfarm in The Villages, FL (MSA) (SMU12455400000000001SA) from Jan 1990 to Dec 2024 about The Villages, payrolls, participation, nonfarm, FL, employment, and USA.

Total Population of Regions, Counties, Towns, and Cities - 2010 and 2020

Demographic characteristics of participants in each of the villages.

Graph and download economic data for All Employees: Government in The Villages, FL (MSA) (SMU12455409000000001) from Jan 1990 to Dec 2024 about The Villages, FL, government, employment, and USA.

Total Populations of Villages - 2000 and 2010

Abstract

The 2010 Rwanda Demographic and Health Survey (RDHS) is designed to provide data for monitoring the population and health situation in Rwanda. The 2010 RDHS is the fifth Demographic and Health Survey to be conducted in Rwanda. The objective of the survey is to provide up-to-date information on fertility, family planning, childhood mortality, nutrition, maternal and child health, domestic violence, malaria, maternal mortality, awareness and behavior regarding HIV/AIDS, HIV prevalence, malaria prevalence, and anemia prevalence. A nationally representative sample of 13,671 women, age 15–49 from 12,540 surveyed households, and 6,329 men, age 15–59 from half of these households, were interviewed. This represents a response rate of 99 percent for women and 99 percent for men. The sample provides estimates at the national and provincial levels.

The main objectives of the 2010 RDHS were to: - Collect data at the national level to facilitate calculation of essential demographic rates, especially rates for fertility and infant and child mortality, and to analyze the direct and indirect factors that determine levels and trends in fertility and child mortality - Measure the levels of knowledge of contraceptive practices among women - Collect data on family health, including immunization practices; prevalence and treatment of diarrhea, acute upper respiratory infections, fever and/or convulsions among children under age 5; antenatal visits; and assistance at delivery - Collect data on the prevention and treatment of malaria, in particular the possession and use of bed nets among children under 5 and among women and pregnant women - Collect data on nutritional practices of children, including breastfeeding - Collect data on the knowledge and attitudes of men and women concerning sexually transmitted infections (STIs) and acquired immune deficiency syndrome (AIDS) and evaluate recent behavioral changes with regard to condom use - Collect data for the estimation of adult mortality and maternal mortality at the national level - Take anthropometric measurements in half of surveyed households in order to evaluate the nutritional status of children, men, and women - Conduct confidential testing for malaria parasitemia using Rapid Diagnostic Testing in half of the surveyed households and anonymous blood smear testing at the National Reference Laboratory - Collect dried blood spots (from finger pricks) for anonymous HIV testing at the National Reference Laboratory in half of surveyed households - Measure hemoglobin level (by finger prick) for anemia of surveyed respondents in half of surveyed households.

Geographic coverage

National. The sample provides estimates at the national and provincial levels.

Analysis unit

Household, adult woman, adult man

Kind of data

Sample survey data

Sampling procedure

The sample for the 2010 RDHS was designed to provide population and health indicator estimates for the country as a whole and for urban and rural areas in particular. Survey estimates are also reported for the provinces (South, West, North, and East) and for the City of Kigali. The results presented in this report show key indicators that correspond to these provinces and the City of Kigali.

A representative sample of 12,792 households was selected for the 2010 RDHS. The sample was selected in two stages. In the first stage, 492 villages (also known as clusters or enumeration areas) were selected with probability proportional to the village size. The village size is the number of households residing in the village. Then, a complete mapping and listing of all households existing in the selected villages was conducted. The resulting lists of households served as the sampling frame for the second stage of sample selection. Households were systematically selected from those lists for participation in the survey.

All women age 15-49 who were either permanent residents of the household or visitors present in the household on the night before the survey were eligible to be interviewed. In addition, in a subsample of half of all households selected for the survey, all men age 15-59 were eligible to be interviewed if they were either permanent residents or visitors present in the household on the night before the survey.

SAMPLING FRAME

The sampling frame used for the 2010 RDHS is the preparatory frame for the Rwanda General Population and Housing Census (RGPH), which will be conducted in 2012. Provided by the National Institute of Statistics of Rwanda (NISR), the sampling frame is a complete list of natural villages covering the entire country. Though it is preferable to work with a frame consisting of enumeration areas (EAs) because the natural villages are too variable in size, an EA frame is not available at the time of sampling design. The sampling frame that was available is the list of 14,837 natural villages, which contains the administrative characteristics for each village and village population. The village population comes from the national ID card project carried out in 2007-08, which may be under estimated compared with the population projection conducted in 2009 by NISR.

Rwanda's administrative units were reformed in 2006, so the country is currently divided into 5 provinces; 30 districts, 417 sectors, and 14,837 villages.The average village size is 610 residents, which is equivalent to 133 households. The sizes of the districts are quite homogeneous, varying from 2.7 percent to 4.4 percent. There is no urban-rural specification in the sampling frame because the urban-rural definition has not been released by the Ministry of Local Administration (MINALOC). It was expected that the urban-rural definition of the sampled villages will be determined during the data collection or in the office once the MINALOC releases the definition.

Mode of data collection

Face-to-face

Research instrument

Three questionnaires were used for the 2010 RDHS: the Household Questionnaire, the Woman’s Questionnaire, and the Man’s Questionnaire. They are based on questionnaires developed by the worldwide Demographic and Health Surveys (DHS) program and on questionnaires used during the 2005 RDHS and 2007-08 RIDHS surveys. To reflect relevant issues in population and health in Rwanda, the questionnaires were adapted during a series of technical meetings with various stakeholders from government ministries and agencies, nongovernmental organizations, and international donors. The questionnaires were translated from English and French into Kinyarwanda.

The Household Questionnaire was used to list all the usual members and visitors in the selected households as well as to identify women and men eligible for individual interviews. Basic information was collected on the characteristics of each person listed, including age, sex, education, and relationship to the head of household. For children under 18, survival status of the parents was determined. The Household Questionnaire also collected information on the following: - Dwelling characteristics - Utilization of health services and health expenditures for recent illness and injury - Possession of iodized salt - Possession and utilization of mosquito nets - Height and weight of women and children - Hemoglobin measurement of women and children - Blood collection from women and children for rapid test and laboratory testing of malaria - Blood collection from women and men for laboratory testing for HIV

The Woman’s Questionnaire was used to collect information from all women age 15-49 and was organized by the following sections: - Respondent background characteristics - Reproduction, including a complete birth and death history of respondents’ children and information on abortion - Contraception - Pregnancy and postnatal care - Child’s immunization, health, and nutrition - Marriage and sexual activity - Fertility preferences - Husband’s background and woman’s work - HIV/AIDS and other sexually transmitted infections - Other health issues - Adult mortality - Relationship in the household

The Man’s Questionnaire was administered to all men age 15-59 living in every other household in the RDHS sample. The Man’s Questionnaire collected much of the same information as the Woman’s Questionnaire but was shorter because it did not contain a detailed reproductive history or questions on maternal and child health or nutrition.

An instruction manual was also developed to support standardized data collection. All data collection instruments were pretested in June-July 2010. The observations and experiences gathered from the pretest were used to improve the instruments for the main survey data collection.

Cleaning operations

Data entry began on November 1, 2010, almost one month after the survey was launched in the field. Data were entered by a team of 15 data processing personnel recruited and trained for this task. They were assisted during these operations by 4 data verification and codification officers and 2 receptionists. Completed questionnaires were periodically brought in from the field to the National Institute of Statistics headquarters, where assigned agents checked them and coded the open-ended questions. Next, the questionnaires were sent to the data entry facility and the blood samples (DBS and malaria slides) were sent to the NRL to be screened for HIV. Data were entered using CSPro, a program developed jointly by the United States Census Bureau, the ORC Macro MEASURE DHS+ program, and Serpro S.A. Processing the data concurrently with data collection allowed for regular monitoring of teams’ performance and data quality. Field check tables were regularly generated during data processing to check

The Village Potential Statistics (PODES) provides information about village (aka desa) characteristics for all of Indonesia, comprising +/- 65,000 villages. It is surveyed in the context of the periodic censuses (Agriculture, Economy, Population). DATASETS ARE AVAILABLE FOR THE FOLLOWING YEARS: 1996,2000-2003,2005-2006,2014,2018-2021

Graph and download economic data for Unemployed Persons in The Villages, FL (MSA) (LAUMT124554000000004) from Jan 1990 to Dec 2024 about The Villages, FL, household survey, unemployment, persons, and USA.

About this dataset

Context

The dataset tabulates the The Village population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for The Village. The dataset can be utilized to understand the population distribution of The Village by age. For example, using this dataset, we can identify the largest age group in The Village.

Key observations

The largest age group in The Village, OK was for the group of age 25 to 29 years years with a population of 1,612 (17.02%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in The Village, OK was the 80 to 84 years years with a population of 106 (1.12%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the The Village is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of The Village 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 The Village Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Village Of Grosse Pointe Shores population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Village Of Grosse Pointe Shores. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,252 (48.36% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Village Of Grosse Pointe Shores population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Village Of Grosse Pointe Shores is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Village Of Grosse Pointe Shores 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 Village Of Grosse Pointe Shores Population by Age. You can refer the same here

Graph and download economic data for All Employees: Total Private in The Villages, FL (MSA) (SMU12455400500000001) from Jan 1990 to Dec 2024 about The Villages, payrolls, private industries, FL, private, employment, industry, and USA.

Graph and download economic data for Total Quarterly Wages in the Villages, FL (MSA) (ENUC455430010SA) from Q1 2013 to Q4 2023 about The Villages, wages, and USA.

Graph and download economic data for Employed Persons in The Villages, FL (MSA) (LAUMT124554000000005A) from 1990 to 2023 about The Villages, FL, household survey, employment, persons, and USA.