Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Van Meter by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Van Meter across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 54.46% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Van Meter Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This scatter chart displays life expectancy at birth (year) against urban population living in areas where elevation is below 5 meters (% of total population). The data is about countries.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Van Meter, IA population pyramid, which represents the Van Meter 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Van Meter Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Norway. It has 64 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and birth rate.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Kyrgyz Republic. It has 64 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and birth rate.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The file CBS squares 100 m contains statistical data per 100 meters by 100 meters square. As of June 2023, the year 2022 has been added and the number of key figures for the years 2021 and 2020 has been significantly expanded to include data on demographics, housing, energy, income, social security, proximity to facilities and density where available. As of the publication year 2022, the classification of inhabitants by migrant background has been replaced by a breakdown by country of birth and origin. As of the publication year 2020, the category of standardised household income has expired. As of June 2023, the year 2022 has been added and the number of key figures for the years 2021 and 2020 has been significantly expanded to include data on demographics, housing, energy, income, social security, proximity to facilities and density where available. As of the publication year 2022, the classification of inhabitants by migrant background has been replaced by a breakdown by country of birth and origin. As of the publication year 2020, the category of standardised household income has expired.
In 2020, the share of children in Vietnam amounted to approximately 23.2 percent of the population. This figure is comparable to the share of children in Malaysia and Sri Lanka. The age dependency ratio in Vietnam was 43 percent.
Age structure in Vietnam
As of 2018, about 69.55 percent of the population was between 15 and 64 years old, followed by 7.27 percent of people aged 65 years and older. In 2019, there were about 68.08 million adults. According to the Central Population and Housing Census, every two persons in the working age group is dependent. This shows an increase of 13.3 percentage points since 2009, more than double the percentage of 1999.
Demographical change in Vietnam
Vietnam has a history of high fertility. Therefore, the age and gender distribution followed the usual pattern where the widest bars can be found at the bottom of the pyramid. However, the country’s number of births decreased in the last few decades, which is why the youngest bars are smaller than the ones above in the demographic pyramid, indicating a slower future population growth. As of 2018, the population density in Vietnam was at 308.13 people per square meter.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Honduras. It has 64 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and birth rate.
POSTAL_TOWN - Name of postal town (e.g. Bradford). POSTCODE_OUTCODE - First part of post code (e.g. BD10). PROPERTY_CLASS - "House" measured by Ratable Value (RV) or "All New Domestic Property" METER_KEY - Common reference to link meter readings together over time. READING_START_DATE - Start of metered period. READING_END_DATE - End of metered period. READING_START_READING - Start reading at start of metered period. READING_END_READING - End reading at end of metered period. GROSS_COMSUMPTION - (READING_END_READING)-(READING_START_READING). One unit = 1m3 (1000 litres) DAILY_AVERAGE_CONSUMPTION - GROSS_CONSUMPTION/(READING_END_DATE-READING_START_DATE) READING_SOURCE - Source of meter reading (customer, YW meter reader etc) CUSTOMER_TYPE - determines who is responsible for paying the bill - the occupier (space) or the landlord (A or L). Where this is an I, it means that the meter reading isn't being used to create the bill - these are what are called 'check meters' and exist on domestic properties so we still read them, and are valid water use readings, but the customer has reverted to being billed using rateable value. This usually happens when they request a meter on the basis that they think it will be cheaper, but then find it isn't so are allowed to revert back. BILLPAYER_AGE - is the average age of the billpayers in the household where their dates of birth are known. For some, we don't know their dates of birth. For those households where there are multiple bill payers (Mr & Mrs usually, or students), then it is the average age. (As of June 2015 for that Meter Key. Will not be true for previous years). This has been further anonymised into age ranges in case people can be identified. CURRENT_OCCUPANCY_AGE - Time current occupier has been at property (As of June 2015 for that Meter Key. Will not be true for previous years)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Barbados. It has 64 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and birth rate.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The file CBS squares 100 m contains statistical data per 100 meters by 100 meters square. As of June 2023, the year 2022 has been added and the number of key figures for the years 2021 and 2020 has been significantly expanded to include data on demographics, housing, energy, income, social security, proximity to facilities and density where available. As of the publication year 2022, the classification of inhabitants by migrant background has been replaced by a breakdown by country of birth and origin. As of the publication year 2020, the category of standardised household income has expired.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Polynesia. It has 192 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and birth rate.
The file CBS squares 100m contains statistical data per 100 meters by 100 meters square. As of June 2023, the year 2022 has been added and the number of key figures for the years 2021 and 2020 have been significantly expanded to include data on demographics, housing, energy, income, social security, proximity to facilities and density where available. With effect from publication year 2022, the classification of residents by migration background has been replaced by a classification by country of birth and origin. With effect from the 2020 publication year, the standardized household income category has been discontinued.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The file CBS squares 100 m contains statistical data per 100 meters by 100 meters square. As of June 2023, the year 2022 has been added and the number of key figures for the years 2021 and 2020 has been significantly expanded to include data on demographics, housing, energy, income, social security, proximity to facilities and density where available. As of the publication year 2022, the classification of inhabitants by migrant background has been replaced by a breakdown by country of birth and origin. As of the publication year 2020, the category of standardised household income has expired.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries in Eastern Asia. It has 5 rows. It features 3 columns: urban population living in areas where elevation is below 5 meters , and birth rate.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The file CBS squares 100 m contains statistical data per 100 meters by 100 meters square. As of June 2023, the year 2022 has been added and the number of key figures for the years 2021 and 2020 has been significantly expanded to include data on demographics, housing, energy, income, social security, proximity to facilities and density where available. As of the publication year 2022, the classification of inhabitants by migrant background has been replaced by a breakdown by country of birth and origin. As of the publication year 2020, the category of standardised household income has expired.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The file CBS squares 500 m contains statistical data per 500 meters by 500 meters square. As of June 2023, the year 2022 has been added and the number of key figures for the years 2021 and 2020 has been significantly expanded to include data on demographics, housing, energy, income, social security, proximity to facilities and density where available. As of the publication year 2022, the classification of inhabitants by migrant background has been replaced by a breakdown by country of birth and origin. As of the publication year 2020, the average household income has been added and the category of standardised household income has expired.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This scatter chart displays urban population living in areas where elevation is below 5 meters (% of total population) against life expectancy at birth (year) in Bolivia. The data is about countries per year.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This scatter chart displays birth rate (per 1,000 people) against urban population living in areas where elevation is below 5 meters (% of total population) in Guyana. The data is about countries per year.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This scatter chart displays birth rate (per 1,000 people) against urban population living in areas where elevation is below 5 meters (% of total population) in Somalia. The data is about countries per year.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Van Meter by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Van Meter across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 54.46% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Van Meter Population by Race & Ethnicity. You can refer the same here