The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.
The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.
The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.
National coverage
Individual
Observation data/ratings [obs]
In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.
In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.
In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.
The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).
For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.
Sample size for Netherlands is 1000.
Landline and mobile telephone
Questionnaires are available on the website.
Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.
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License information was derived automatically
The total population in Netherlands was estimated at 18.0 million people in 2025, according to the latest census figures and projections from Trading Economics. This dataset provides - Netherlands Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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License information was derived automatically
This dataset is about countries per year in Netherlands. It has 64 rows. It features 4 columns: country, region, and rural population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Netherlands NL: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider, Richest 60%: % of Population Aged 15+ data was reported at 99.537 % in 2017. This records an increase from the previous number of 99.524 % for 2014. Netherlands NL: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider, Richest 60%: % of Population Aged 15+ data is updated yearly, averaging 99.524 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 99.537 % in 2017 and a record low of 98.093 % in 2011. Netherlands NL: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider, Richest 60%: % of Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (richest 60%, share of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).
IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.
The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.
National coverage
Person
UNITS IDENTIFIED: - Dwellings: Not available in microdata sample - Vacant units: Not available in microdata sample - Households: Not available in microdata sample - Individuals: Yes - Group quarters: Not available in microdata sample - Special populations: n/a
UNIT DESCRIPTIONS: - Households: Individuals living in the same dwelling and sharing at least one meal.
The entire population of the country: 15,985,538 persons. Microdata are available for 1.19 % of the population, but exclude the institutional population.
Census/enumeration data [cen]
MICRODATA SOURCE: Statistics Netherlands (Centraal Bureau voor de Statistiek, CBS)
SAMPLE UNIT: Person
SAMPLE FRACTION: 1.19%
SAMPLE SIZE (person records): 189,725
Face-to-face [f2f]
Dependent on source: register or survey
COVERAGE: Dependent on source, 1% to 100%
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 Holland by race. It includes the population of Holland across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Holland across relevant racial categories.
Key observations
The percent distribution of Holland population by race (across all racial categories recognized by the U.S. Census Bureau): 82.66% are white, 5.24% are Asian and 12.10% are multiracial.
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:
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 Holland Population by Race & Ethnicity. You can refer the same here
Comprehensive dataset of 12 Tenant ownerships in Netherlands as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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 Netherlands. It has 64 rows. It features 4 columns: country, male population, and population.
https://worldviewdata.com/termshttps://worldviewdata.com/terms
Comprehensive socio-economic dataset for Netherlands including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table includes figures about the population on the islands of Bonaire, Saba and St. Eustatius broken down by gender and age on 1 January.
Since 10 October 2010, the islands of Bonaire, Saba and St. Eustatius have been given the status of ‘special municipality’ of the Netherlands. On the grounds of their new status as “special municipality”, they are officially classified as public bodies of the Netherlands.
Figures on the period 2002-2010 are provided by the Central Bureau of Statistics Netherlands Antilles and Island Registries (CBS-NA). From 2010 onwards the figures are provided by Statistics Netherlands (CBS).
Data available as from 2002 up to and including 2016.
Status of the figures: The figures in this table are final.
Changes on 6 October 2017: This table is discontinued.
When will new figures be published? Not applicable anymore. This table will be replaced by 'Caribbean Netherlands; population; sex, age, marital status', see chapter 3.
http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApplyhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApply
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License information was derived automatically
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
This dataset contains SDMX files with total population of the Netherlands according to the INSPIRE datamodel for Population Distribution version 3.0.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Home Ownership Rate in Netherlands decreased to 68.80 percent in 2024 from 69.30 percent in 2023. This dataset provides the latest reported value for - Netherlands Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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 Netherlands. It has 64 rows. It features 3 columns: country, and urban population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Health perception, height, obesity, health complaints, physical limitations, psychosocial complaints by sex, type of insurance, 1981 - 2000 Changed on March 25 2010. Frequency: Discontinued.
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License information was derived automatically
The dataset is based on the population census of the Netherlands of 1879 published in 12 vols.Content: images of the publication, searchable pdf files of the text sections and excel files with data entered from the published tables.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Netherlands NL: Internet Users: Individuals: % of Population data was reported at 93.197 % in 2017. This records an increase from the previous number of 90.411 % for 2016. Netherlands NL: Internet Users: Individuals: % of Population data is updated yearly, averaging 66.435 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 93.956 % in 2013 and a record low of 0.334 % in 1990. Netherlands NL: Internet Users: Individuals: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank: Telecommunication. Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Global population density from 1970 to 2100 per land grid cell. The data is licensed under CC-BY. The IMAGE-team would appreciate cooperation when data is used.
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Netherlands Whois Database, discover comprehensive ownership details, registration dates, and more for domains registered in Netherlands with Whois Data Center.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table includes figures about the population on the islands of Bonaire, Saba and St Eustatius broken down by gender, age and country of birth on 1 January. Since 10 October 2010, the islands of Bonaire, Saba and St Eustatius have been given the status of 'special municipality' of the Netherlands. On the grounds of their new status as 'special municipality', they are officially classified as public bodies of the Netherlands.
Data available from: 2011
Status of the figures: The figures in this table are final.
Changed on 19 May 2025: Figures of 1 January 2025 have been added.
Changed on 5 December 2024: None, this is a new table. This table succeeds the table CN; population, sex, age and country of birth; 2011-2024. See section 3. The following changes have been implemented compared to the discontinued table: - Persons born in countries that have since disintegrated (e.g. the Soviet Union) have been assigned to one of the countries that emerged from these old countries based on birthplace information. See also notes on 'Country of birth'; - The origin countries Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan and Turkey have been assigned to continent Asia (was Europe);
When will new figures be published? New figures of 1 January 2026 will be published in the second quarter of 2026.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Holland township 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 Holland township. The dataset can be utilized to understand the population distribution of Holland township by age. For example, using this dataset, we can identify the largest age group in Holland township.
Key observations
The largest age group in Holland Township, New Jersey was for the group of age 15 to 19 years years with a population of 413 (7.97%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Holland Township, New Jersey was the 85 years and over years with a population of 49 (0.95%). 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
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 Holland township Population by Age. You can refer the same here
The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.
The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.
The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.
National coverage
Individual
Observation data/ratings [obs]
In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.
In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.
In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.
The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).
For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.
Sample size for Netherlands is 1000.
Landline and mobile telephone
Questionnaires are available on the website.
Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.