This statistic shows the largest urban settlements in the Netherlands in 2021. In 2021, around 1.13 million people lived in Amsterdam, making it the largest city in the Netherlands. Population of the Netherlands With the global financial crisis in 2008 as well as the Euro zone crisis, many countries in Europe suffered a great economic impact. In spite of the crisis, the Netherlands maintained a stable economy over the past decade. The country's unemployment rate, for example, has been kept at a relatively low level in comparison to other countries in Europe also affected by the economic crisis. In 2014, Spain had an unemployment rate of more than 25 percent. The Netherlands' population has also seen increases in growth in comparison to previous years, with the figures slowly decreasing since 2011. As a result of the increase in population, the degree of urbanization - which is the share of the population living in urban areas - has increased, while the size of the labor force in the Netherlands has been relatively stable over the past decade. The population density of inhabitants per square kilometer in the Netherlands has also increased. Large cities in the Netherlands have experienced the impact of the population density growth and increase in the size of the labor force first hand. Three cities in the Netherlands have over half a million residents (as can be seen above). Additionally, more and more visitors are coming to the kingdom: The number of tourists in the Netherlands has increased significantly since 2001, a change which has also impacted the country's metropolises. Due to its location and affordable accommodation prices, the country’s tourism industry is developing and the largest cities in the Netherlands are taking advantage of it.

Not surprisingly, the capital of the Netherlands is also its largest city. At around *******, Amsterdam has over ******* inhabitants more than the second-largest city in the country, Rotterdam. The Hague and Utrecht, the third and fourth-largest cities in the Netherlands, together have approximately as many inhabitants as Amsterdam alone. Amsterdam and the pressure on the housing market A rapidly growing city, Amsterdam’s population increased from roughly ***** thousand to around ***** thousand in the last decade. This has created pressure on the real estate market, where average rent and housing prices have skyrocketed. In the first quarter of 2010, the average rent of residential property amounted to roughly ***** euros per square meter. In the first quarter of 2021, this had increased to over ***** euros per square meter.  2030 Outlook  In the nearby future, Amsterdam is set to remain the Netherlands’ largest city. According to a recent forecast, by 2030 Amsterdam will have broken the barrier of one million inhabitants. Rotterdam, Den Haag and Utrecht are forecast to grow too, albeit at a much lower pace. In 2030, Rotterdam is expected to reach just under ******* inhabitants.

Population in largest city in Netherlands was reported at 1181817 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Netherlands - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Netherlands NL: Population in Largest City data was reported at 1,123,080.000 Person in 2017. This records an increase from the previous number of 1,114,536.000 Person for 2016. Netherlands NL: Population in Largest City data is updated yearly, averaging 970,475.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,123,080.000 Person in 2017 and a record low of 922,076.000 Person in 1983. Netherlands NL: Population in Largest City 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: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Population in the largest city (% of urban population) in Netherlands was reported at 7.0279 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Netherlands - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

This statistic displays the top 10 cities with the largest total fashion shop floor area in the Netherlands in 2014. In 2014, fashion stores in Tilburg had a combined shop floor area of approximately ****** square meters.

Government city The Hague was the most densely populated city in the Netherlands in 2019, with a population density of nearly ***** people per square kilometer. Perhaps surprisingly, Amsterdam is not the most densely populated city in the country, ranking fourth on the list of most populous cities in the Netherlands in 2019.

Netherlands NL: Population in Largest City: as % of Urban Population data was reported at 7.063 % in 2017. This records a decrease from the previous number of 7.087 % for 2016. Netherlands NL: Population in Largest City: as % of Urban Population data is updated yearly, averaging 9.364 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 13.659 % in 1960 and a record low of 7.063 % in 2017. Netherlands NL: Population in Largest City: as % of Urban 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: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

This statistic shows the average number of months a house is for sale in the largest cities in the Netherlands in the second quarter of 2017. In the second quarter of 2017, it would take approximately 10 months to sell a house in Amsterdam. In the four largest municipalities, the demand of housing outweighs the supply. In December 2016, the average number of houses for sale in the municipality of Amsterdam was approximately ***** with this number reaching an average of ***** in December 2014.

This statistic shows the degree of urbanization in the Netherlands from 2013 to 2023 and details the percentage of the entire population, living in urban areas. In 2023, 93.18 percent of the total population of the Netherlands lived in cities. Population of the Netherlands The Netherlands is a developed country with a high standard of living. Owing to a fairly steady fertility rate, the total population of the Netherlands has only slightly increased over the past decade. A look at the population growth in the Netherlands shows that growth has been less than 1 percent at some points, and has even decreased to less than 0.5 percent at other intervals over the past few years. Population density in the Netherlands has increased very slightly accordingly, with the majority of the population living in cities, the largest being Amsterdam in terms of residents, closely followed by Rotterdam. The median age of the Netherlands’ population (i.e. one half of the population is older, while the other one is younger) has increased significantly since the 1980s, which is indicative of a high life expectancy among inhabitants. The Netherlands is currently ranked 16th on a ranking of the 20 countries with the highest life expectancy worldwide. The Netherlands is also among the countries with the highest GDP in the world, and is thus one of the leading economies. The majority of the workforce is employed in the services sector, generating the majority of gross domestic product. The labor force of the Netherlands consists of more than 8 million employed persons, and the unemployment rate has been increasing since the economic crisis in 2008. The crisis has also been visible in the inflation rate in the Netherlands over the past few years; on the other hand, trade balance figures show that the Dutch economy has been recovering steadily.

Netherlands - Overcrowding rate: Cities was 5.80% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Netherlands - Overcrowding rate: Cities - last updated from the EUROSTAT on August of 2025. Historically, Netherlands - Overcrowding rate: Cities reached a record high of 6.20% in December of 2020 and a record low of 2.00% in December of 2011.

This dataset is a dump made on 14 December 2020 of the metadata of the submissions to the Corona in the City platform, including URLs that link to the submission content, which has been processed by the listed authors. Corona in the City is a project by the Amsterdam Museum, the museum that documents the story of the Dutch capital as it evolved in the past millennium. The museum developed an online, bilingual (Dutch-English) platform that was launched on 30 April 2020 for the collection of contributions from “all inhabitants, visitors and lovers of Amsterdam” that document their experiences with the Covid-19 pandemic. The explicit aim was to present these contributions in an online exhibition that opened on 15 May 2020. In order to ensure a wide variety of contributions, the museum collaborated with 45 local partner institutions, some of which curated their contributions in dedicated virtual exhibition rooms. By December 2020 the exhibition counted just over 3.000 submissions and had drawn 100.000 visitors; it is presently still open for contributions and new exhibition rooms are added occasionally.In line with the Privacy Policy of our Archiving COVID-19 Communities project (https://covid19communities.humanities.uva.nl/privacy-policy), for which we analyzed this dataset, we anonymized the original datadump by removing names of submitters, phone numbers and IP addresses. Email addresses of submitters have been anonymized by mapping them to unique identifyers. Although both the title of the submissions and summary description columns in many cases also reference person names, we considered that, since all submitters have consented to being mentioned on the Corona in the City website and having their submissions analyzed by the University of Amsterdam for research purposes (see https://www.coronaindestad.nl/en/terms-and-conditions/), these data could remain as received.

Traffic Congestion Index: Average: Netherlands: Amsterdam data was reported at 5.840 Index in 24 Nov 2023. This records a decrease from the previous number of 18.780 Index for 23 Nov 2023. Traffic Congestion Index: Average: Netherlands: Amsterdam data is updated daily, averaging 6.735 Index from Jan 2019 (Median) to 24 Nov 2023, with 1682 observations. The data reached an all-time high of 83.720 Index in 29 May 2020 and a record low of 0.240 Index in 13 Apr 2020. Traffic Congestion Index: Average: Netherlands: Amsterdam data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Netherlands – Table TI.TCI: Traffic Congestion Index: Average: by Cities (Discontinued). [COVID-19-IMPACT]

OVERVIEW:

• - This repository contains datasets for calculating the daily maximum Urban Heat Island (UHImax) effect across Dutch urban areas. The methodology is based on the diagnostic equation developed by Theeuwes et al. (2017) for northwestern European cities. The datasets focus on municipalities with population densities exceeding 1,000 people per km².

• - To support reproducibility, we provide detailed documentation that enable researchers to generate UHImax datasets for time periods other than 2023 (refer to the README.md for detailed documentation).

DATASET SPECIFICATIONS:

1) Urban Heat Island Maximum (UHImax) Dataset

• - Format: GeoTIFF
• - Resolution: 5m
• - Units: K
• - Value Range: 0-10 K
• - Temporal Coverage: Summer 2023 (June 1 - Sept 31)
• - NoData Value: NA

2) Sky View Factor (SVF) Dataset

• - Format: GeoTIFF
• - Resolution: 5m
• - Value Range: 0-1 (0: completely obstructed; 1: completely unobstructed)
• - NoData Value: NA
• - Temporal Coverage: 2020-2022

DATASET SPATIAL COVERAGE (99 Dutch municipalities) :

Katwijk; Leiden; Leiderdorp; Lisse; Oegstgeest; Voorschoten; Zoetermeer; Teylingen; Leidschendam-Voorburg; 's-Gravenhage; Den Helder; Aalsmeer; Amstelveen; Amsterdam; Beverwijk; Diemen; Haarlem; Heemskerk; Heemstede; Uithoorn; Velsen; Zaanstad; Hillegom; Gooise Mere; Alkmaar; Heiloo; Hoorn; Purmerend; Stede Broec; Dijk en Waard; Amersfoort; Soest; Zeist; Nieuwegein; Blaricum; Hilversum; Huizen; Utrecht; Enkhuizen; Almere; Harderwijk; Urk; Arnhem; Wageningen; Westervoort; Zutphen; Veenendaal; Zwolle; Groningen; Almelo; Enschede; Hengelo (O.); Oldenzaal; Middelburg (Z.); Vlissingen; Maassluis; Westland; Maassluis; Westland; Alblasserdam; Barendrecht; Capelle aan den IJssel; Delft; Hendrik-Ido-Ambacht; Krimpen aan den IJssel; Ridderkerk; Rotterdam; Rijswijk (ZH.); Schiedam; Albrandswaard; Vlaardingen; Waddinxveen; Zwijndrecht; Lansingerland; Pijnacker-Nootdorp; Nissewaard; IJsselstein; Dordrecht; Gouda; Hardinxveld-Giessendam; Papendrecht; Sliedrecht; Breda; Tilburg; Culemborg; Tiel; Gorinchem; 's -Hertogenbosch; Eindhoven; Helmond; Veldhoven; Geldrop-Mierlo; Nijmegen; Roermond; Landgraaf; Brunssum; Heerlen; Kerkrade; Maastricht; Stein (L.); Sittard-Geleen.

This dataset tracks annual reduced-price lunch eligibility from 2003 to 2023 for Holland High School vs. Michigan and Holland City School District

This dataset tracks annual asian student percentage from 1991 to 2023 for Holland High School vs. Michigan and Holland City School District

BackgroundThe recently developed Social Exclusion Index for Health Surveys (SEI-HS) revealed particularly strong social exclusion in non-Western immigrant groups compared to the native Dutch population. To qualify such results, cross-cultural validation of the SEI-HS in non-Western immigrant groups is called for.MethodsA sequential explanatory mixed methods design was used, employing quantitative data from the Netherlands Public Health Monitor along with qualitative interviews. Data from 1,803 adults aged 19 years or older of Surinamese, 1,009 of Moroccan and 1,164 of Turkish background and 19,318 native Dutch living in the four largest cities in the Netherlands were used to test the factorial structure of the SEI-HS and differential item functioning across immigrant groups. Additionally, 52 respondents with a high score on the SEI-HS and from different background were interviewed on the item content of the SEI-HS and subjective feelings of exclusion. For each SEI-HS item the semantic, conceptual and contextual connotations were coded and compared between the immigrant groups and native Dutch.ResultsHigh levels of social exclusion were found in 20.0% of the urban population of Surinamese origin, 20.9% of Moroccan, 28.7% of Turkish and 4.2% of native Dutch origin. The 4-factor structure of the SEI-HS was confirmed in all three immigrant groups. None of the items demonstrated substantial differential item functioning in relation to immigration background. The interviews uncovered some methodological shortcomings, but these did not substantially impact the observed excess of social exclusion in immigrant groups.ConclusionsThe present study provides evidence in support of the validity of the SEI-HS in adults of Surinamese, Moroccan and Turkish background and confirms the major social exclusion of these immigrant groups in the main cities in the Netherlands. Policy measures to enhance social inclusion and reduce exclusion are urgently needed.

1. The urban dimension of ecosystem services (ES) is underexposed, while the importance of ES for human well-being is nowhere as evident as in cities. Urban challenges such as air pollution, noise and heat can be moderated by urban green space (UGS), simultaneously providing multiple other services. However, available methods to quantify ES cannot typically deal with the high spatial and thematic resolution land cover data that are needed to better understand ES supply in the urban context. 2. This study derives methods to quantify and map a bundle of six ES as supplied by UGS, using land cover data with high spatial and thematic resolution, and applies these to the city of Rotterdam, the Netherlands. Land cover data comprise eight classes of UGS. Methods are derived from an evidence base on the importance of UGS types for the supply of each of the six ES that was built using literature review. 3. The evidence base reveals that UGS types differ in their contribution to various ES, although the strength of the evidence varies. However, existing indicators for urban ES often do not discriminate between UGS types. To derive UGS-specific indicators, we combined methods and evidence from different research contexts (ES, non-ES, urban, non-urban). 4. Rotterdam shows high spatial variation in the amount of UGS present, and accounting for this in ES supply reveals that ES bundles depend on UGS composition and configuration. While the contribution of UGS types to ES supply differed markedly with UGS type and ES considered, we demonstrate that synergies rather than trade-offs exist among the ES analysed. 5. Synthesis and applications. Our findings underline the importance of a careful design of urban green space (UGS) in city planning for ecosystem services (ES) provision. Based on the latest insights on how different UGS provide ES, the methods presented in this study enable a more detailed quantification and mapping of the supply of ES in cities, allowing assessments of current supply of key urban ES and alternative urban designs. Such knowledge is indispensable in the quest for designing healthier and climate-resilient cities.

This dataset contains the results of a recent survey of historical drought years for the Dutch cities of Deventer and Zutphen between 1500 and 1795. It is the first long-term historical survey of drought years for these cities during the early modern period, and is part of the project: Coping with drought. An environmental history of drinking water and climate adaptation (NWO 406.18.HW.015). The primary aim of this project and the dataset is to provide insights into the severity of droughts in the early modern eastern Netherlands based on their impact. The drought years are ranked for both cities according to the Historical Severity Drought Scale (HSDS), developed by Garnier (2014) with values from -1 (ninsufficient qualitative and quantitative information but the event is kept in the chronological reconstruction), 1 (absence of rainfall: rogations, evidences in texts), 2 (local low-water in rivers, first effects on vegetation), 3 (general low-water (difficulties for navigation) and water reserves), 4 (severe low-water mark: navigation impossible, lay-off of wheatmills, search for new springs, forest fires, death of cattle), 5 (exceptional drought: no possible supply, shortage, sanitary problems, very high prices of wheat, forest fires).