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.

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.

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

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.

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.

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 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.

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/.

About this dataset

Context

This list ranks the 1 cities in the Washington County, ID 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 County, ID 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 County Dutch Population: This tells us how much of the entire Washington County, ID 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.

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.

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 Big Horn County, MT 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 Big Horn County, MT 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 Big Horn County Dutch Population: This tells us how much of the entire Big Horn County, MT 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/.

With 3.3 Million Businesses in the Netherlands , Techsalerator has access to the highest B2B count of Data/Business in the country.

Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

We cover all regions and cities in the country. A few examples :

Province Capital Drenthe Assen
Flevoland Lelystad
Friesland Leeuwarden
Gelderland Arnhem
Groningen Groningen
Limburg Maastricht
North Brabant 's-Hertogenbosch
North Holland Haarlem Overijssel Zwolle
South Holland The Hague
Utrecht Utrecht Zeeland Middelburg

A few Cities:

Amsterdam
Rotterdam
The Hague
Utrecht Eindhoven
Tilburg Groningen
Almere Stad Breda
Nijmegen
Enschede
Haarlem Arnhem
Zaanstad
Amersfoort
Apeldoorn
's-Hertogenbosch
Hoofddorp
Maastricht
Leiden
Dordrecht
Zoetermeer
Zwolle
Deventer
Delft
Alkmaar Heerlen Venlo
Leeuwarden
Amsterdam-Zuidoost
Hilversum
Hengelo Amstelveen
Roosendaal
Purmerend
Oss

About this dataset

Context

This list ranks the 473 cities in the California 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 California 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 California Dutch Population: This tells us how much of the entire California 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/.

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.