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.

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.

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.

Actual value and historical data chart for Netherlands Population In Largest City

We investigated the socioeconomic scaling behavior of all cities with more than 50,000 inhabitants in the Netherlands and found significant superlinear scaling of the gross urban product with population size. Of these cities, 22 major cities have urban agglomerations and urban areas defined by the Netherlands Central Bureau of Statistics. For these major cities we investigated the superlinear scaling for three separate modalities: the cities defined as municipalities, their urban agglomerations and their urban areas. We find superlinearity with power-law exponents of around 1.15. But remarkably, both types of agglomerations underperform if we compare for the same size of population an agglomeration with a city as a municipality. In other words, an urban system as one formal municipality performs better as compared to an urban agglomeration with the same population size. This effect is larger for the second type of agglomerations, the urban areas. We think this finding has important implications for urban policy, in particular municipal reorganizations. A residual analysis suggests that cities with a municipal reorganization recently and in the past decades have a higher probability to perform better than cities without municipal restructuring.

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.; ;

According to this population forecast, in 2030 Amsterdam will remain the largest city in the Netherlands. It is forecast that the capital will have over *********** inhabitants in 2030. Rotterdam, currently the second-largest city in the country, will keep its spot. By 2030, the population of Rotterdam is expected to reach just under ******* people.

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.

There were twice more non-residential units constructed in Amsterdam than in Utrecht in 2022. Meanwhile, there were roughly 100 new commercial buildings in The Hague, and 72 in Rotterdam that year.

This dataset contains tables with stock data on the population of Amsterdam broken down into age groups, gender, nationality, migration background, household types and marital status. For figures on the population in the Amsterdam Metropolitan Area (AMA), the four major cities (G4) and the Netherlands, please consult StatLine - the database of Statistics Netherlands.

The statistic illustrates the inbound tourism to the four main cities in the Netherlands from 2010 to 2014. The number of international visitors increased for all four cities between 2010 and 2014. Most tourists were found in and around Amsterdam with roughly *** million tourists in 2014, an increase of roughly *********** tourists when comparing it to the year 2010. When looking at the other cities, there were significantly less tourists than in Amsterdam. Rotterdam was the second city with the most tourists, approximately ******* in 2014. The Hague attracted roughly a little less than ******* tourists, whereas Utrecht attracted roughly *******. In general, looking at the forecast of inbound tourism for the Netherlands, it is estimated that in 2018 approximately **** million tourists will visit the Netherlands. To compare, in 2017 there were roughly **** million tourists, which means an increase of roughly half a million tourists in 2018.

About this dataset

Context

This list ranks the 1 cities in the Major County, OK by Dutch population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Dutch Population: This column displays the rank of city in the Major County, OK by their Dutch population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Dutch Population: The Dutch population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Dutch. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Major County Dutch Population: This tells us how much of the entire Major County, OK Dutch population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Rent prices per square meter in the largest Dutch cities have been on an upward trend after a slight decline in 2020. Amsterdam remained the most expensive city to live in, averaging a monthly rent of 27.6 euros per square meter for residential real estate in the private rental sector. Monthly rents in Utrecht were around six euros cheaper per square meter. Both cities were above the average rent price of residential property in the Netherlands overall, whereas Rotterdam and The Hague were slightly below that. Buying versus renting, what do the Dutch prefer? The Netherlands is one of Europe’s leading countries when it comes to homeownership, having funded this with a mortgage. In 2023, around 60 percent of people living in the Netherlands were homeowners with a mortgage. This is because Dutch homeowners were able to for many years to deduct interest paid from pre-tax income (a system known in the Netherlands as hypotheekrenteaftrek). This resulted in the Netherlands having one of the largest mortgage debts across the European continent. Total mortgage debt of Dutch households reached a value of approximately 803 billion euros in 2023. Is the Dutch housing market overheating? There are several indicators for the Netherlands that allow to investigate whether the housing market is overheating or not. House price indices corrected for inflation in the Netherlands suggest, for example, that prices have declined since 2022. The Netherlands’ house-price-to-rent-ratio, on the other hand, has exceeded the pre-crisis level in 2019. These figures, however, are believed to be significantly higher for cities like Amsterdam, as it was suggested for a long time that the prices of owner-occupied houses were increasing faster than rents in the private rental sector.

Malaysia Tourist Arrival: Sightseeing In Cities: Netherlands data was reported at 96.400 % in 2015. This records an increase from the previous number of 85.100 % for 2014. Malaysia Tourist Arrival: Sightseeing In Cities: Netherlands data is updated yearly, averaging 87.900 % from Dec 2001 (Median) to 2015, with 15 observations. The data reached an all-time high of 97.400 % in 2013 and a record low of 37.000 % in 2003. Malaysia Tourist Arrival: Sightseeing In Cities: Netherlands data remains active status in CEIC and is reported by Tourism Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.Q009: Tourist Arrivals By Major Activities Engaged.

About this dataset

Context

This list ranks the 238 cities in the Washington by Dutch population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Dutch Population: This column displays the rank of city in the Washington by their Dutch population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Dutch Population: The Dutch population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Dutch. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Washington Dutch Population: This tells us how much of the entire Washington Dutch population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 20 cities in the Livingston County, MI by Dutch population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Dutch Population: This column displays the rank of city in the Livingston County, MI by their Dutch population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Dutch Population: The Dutch population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Dutch. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Livingston County Dutch Population: This tells us how much of the entire Livingston County, MI Dutch population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

The research objective is to see whether indicators of well-being show non-linear urban scaling for cities in the Netherlands. The research uses geo-spatial methods and techniques to obtain well-being values per city, which are then scaled with city size. Different city delineations are compared and analysed with datasets on land use and demographic statistics. Binary dasymetric interpolation is applied to the well-being dataset, using a Dutch residential dataset, to obtain well-being values per city. Datasets used primarily cover well-being and city delineations. The datasets used are freely available online and included in the folder 'Data', for a complete overview and citations refer to the paper (DOI with link will come after publication).

The dataset provided here contains the original datasets used for the study:

FUA_NL, a dataset with functional urban areas. GHS_SMOD, a dataset with city delineations based on the degree of urbanization method. RIVM, datasets with well-being survey data for the Netherlands (2016).

The 'Data' folder further contains datasets by CBS with statistics per grid cell (cbs_vk.._.._vol.gpkg), per administrative unit (wijkenbuurten_...) or information on land use (bbg).

The other folders contain main datasets and visualisations produced for the paper.

This table presents an overview of the number of guests and their overnight stays in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by country of origin of the guests (country of residence), parts of the country, provinces, tourist parts of the country and 5 major cities.

Columns: - CountryOfResidence: Residence of the guests - Regions: Destination inside Netherlands - Periods: Time period of the data - Guests_1: Number of guests, in x1000. Detail classification can be found in metadata-data-properties.csv or StatLine Website - OvernightStays_2: Number of total overnight stay, in x1000

Note: All data are from StatLine, the electronic database of Statistics Netherlands (CBS).

This dataset contains the calculated metrics of 3D buildings in four major cities of the Netherlands, used for our paper: "Anna Labetski, Stelios Vitalis, Filip Biljecki, Ken Arroyo Ohori, and Jantien Stoter, 3D Building Metrics for Urban Morphology, 2022, International Journal of Geographical Information Science" The metrics were computed against 648 tiles of 3D BAG version 21.09.8, containing 824531 buildings in four major cities: Amsterdam, The Hague, Rotterdam, and Utrecht. The list of tiles is available in tiles.tab. The metrics are available in three CSVs, one for every LoD available for every building (LoD1.2, LoD1.3 and LoD2), each with the respective filename. There are also three tables with the comparative analysis between the (boolean) volume of different LoDs.