Key figures on the population of the Netherlands.

The following information is available: - Population by sex; - Population by marital status; - Population by age (groups); - Population by origin; - Private households; - Persons in institutional households; - Population growth; - Population density.

Statistics Netherlands will reorganise the tables relating to statistics on population and households. The aim is to reduce the number of tables while striving to preserve (much) needed information. This table will be revised as soon as possible.

CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin.

Data available from 1950 to 2022.

Status of the figures: All the figures are final.

Changes as of 26 April 2023: None, this table was discontinued.

When will new figures be published? No longer applicable. This table is succeeded by the table Population; key figures. See section 3.

Key figures on the population of the Netherlands.

The following information is available: - Population by sex; - Population by marital status; - Population by age (groups); - Population by origin; - Private households; - Persons in institutional households; - Population growth; - Population density.

CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin.

Data available from: 1950 Figures on population by origin are only available from 2022 at this moment. The periods 1996 through 2021 will be added to the table at a later time.

Status of the figures: All the figures are final.

Changes as of 8 September 2025: Final figures with regard to population growth for 2024 and final figures of the population on 1 January 2025 have been added.

When will new figures be published? In the last quarter of 2026 final figures with regard to population growth for 2025 and final figures of the population on 1 January 2026 will be added.

Population growth in The Netherlands by birth, death and migration by sex and region.

In addition to national data, information is presented by group of provinces, province, COROP region and municipality.

The regional totals shown concern cumulated municipal data. Where changes of municipal boundaries transect regional boundaries, the municipal classifications concerns the most recent situation. The municipality of Vianen, for example, was annexed by the province of Utrecht on 1 January 2002, and is classified under the province of Utrecht in the Table.

Data available from: 1942

Status of the figures: All data recorded in this publication are final data. Up to 1977 data may differ from other published data on StatLine. This is due to differences between the data files used by Statistics Netherlands and the official data as published in 'Loop van de bevolking per gemeente'.

Changes as of 9 July 2025: Final figures of 2024 have been added.

When will new figures be published? In the 3rd quarter of 2026 figures of 2025 will be added in this table.

This dataset relates to a study exploring off-grid sanitation practices in Kenya, Peru, and South Africa, with a focus on how various user demographics access and utilize sanitation facilities. The study contrasts container-based sanitation with alternative methods. Participants, acting as citizen researchers, gathered confidential information using a specialized mobile application. The primary objective was to uncover obstacles and challenges, with the intention of sharing insights with other municipalities interested in implementing container-based sanitation solutions for off-grid regions.

Over the course of 12 months, participants received incentives for consistent involvement, following a micro-payment for micro-tasks model. Selection of participants was randomized, involving attendance at a training session and, if necessary, provision of a smartphone which they retained at the conclusion of the project. Weekly smartphone surveys were conducted in more than 300 households within informal settlements across the three countries throughout the project duration. These surveys aimed to capture daily routines, well-being, income levels, usage of infrastructure services, livelihood or environmental shocks and other socioeconomic factors on a weekly basis, contributing to more comprehensive analyses and informed decision-making processes.

The smartphone-based methodology offered an efficient and adaptable means of data collection, facilitating broad coverage across diverse geographical areas and subjects, while promoting regular engagement. Open Data Kit (ODK) tools were utilized to support data collection in resource-limited settings with unreliable connectivity.To protect human health and the environment, sanitation systems must separate people from their excreta and treat it. This does not just involve technologies but other aspects like finance, government policies and human behaviours must be considered. Sewers and wastewater treatment plants can assist in providing safe sanitation, but they are expensive and challenging to build, particularly in dense urban areas or where people do not own the land that they live on. In fact, only 45% of the world's urban population have safely managed sanitation; that is where human waste is treated before disposal. Many of these people are instead using off-grid options for sanitation, such as pit latrines and septic tanks. These are physically difficult to empty, especially in areas of high population density, on steep slopes or with a high water table, and pose significant health hazards. The collected waste is often dumped illegally, frequently into water sources. Off grid solutions can only manage waste safely if the waste collection, treatment and disposal is properly considered.

This research will focus on an emerging off-grid sanitation option in the form of container-based sanitation (CBS) across four city contexts where the provision and regulation of CBS is done by different organisations. In Cap Haitien (Haiti), CBS is provided by an NGO, in Lima (Peru) it is provided by a private company, in Cape Town (South Africa) it is provided by the municipality and in Kakuma Refugee camp (Kenya) it is provided by a private company working with an NGO. A refugee camp is included as in the future, refugees driven by climate and other factors will make up a significant proportion of the world's urban population.

Interviews will be conducted with the staff working for the CBS provider as well as other organisations that they work closely with, e.g., local government, water utilities and regulators. To capture the feelings and opinions of the people using the CBS toilets, as well as people using other off-grid sanitation options like pit latrines, a novel smartphone data collection will be used. Participants will complete a short survey several times a week to capture aspects of their mental well-being.

In addition, the data collected will reveal whether current regulations and policies support CBS and whether CBS increases disparities or decreases them. For example, does CBS without a permanent infrastructure make users feel more vulnerable to eviction, and is the collection of the containers a burden? Or does it give access to people who would not otherwise be able to use a toilet?

The project will also look at the links with other sectors, specifically waste, energy, transport and solid waste, as if CBS coverage is increased these services will be impacted. For example CBS relies on road transport and cause additional traffic. But the use of CBS stops the disposal of waste into rivers so water supplies are cleaner.