Chart and table of population level and growth rate for the Amsterdam, Netherlands metro area from 1950 to 2025.

Amsterdam is the largest city in the Netherlands, with a population amounting to over 918,100 inhabitants. In the last ten years, Amsterdam’s population increased rapidly, and the end is not yet in sight. By 2030, the number of inhabitants is forecast to reach over one million.

 Amsterdam and tourism  

Amsterdam is not just a popular place to settle down, it is also one of Europe’s leading city trip destinations. In 2020, tourists spent nearly 5.8 million nights in the city. Europe’s most popular capitals, London and Paris, registered roughly 20.77 and 14.13 million nights, respectively. In 2019, Amsterdam ranked 10th on the list of leading European city tourism destinations, just below Vienna and Prague.
   Tourism boom  

Tourism in Amsterdam is booming. In the last ten years, the number of tourists visiting the capital has doubled. In 2018, the city registered nearly 8.6 million hotel guests. The largest group of guests visiting Amsterdam were tourists from the U.K. (three million hotel nights), followed by domestic tourists and tourists from the US (2.9 and two million hotel nights, respectively).

About this dataset

Context

The dataset tabulates the Amsterdam population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Amsterdam across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Amsterdam was 18,093, a 0.24% decrease year-by-year from 2022. Previously, in 2022, Amsterdam population was 18,136, a decline of 0.06% compared to a population of 18,147 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Amsterdam decreased by 235. In this period, the peak population was 18,613 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Amsterdam is shown in this column.
• Year on Year Change: This column displays the change in Amsterdam population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Amsterdam Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Amsterdam town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Amsterdam town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Amsterdam town was 5,575, a 0.18% decrease year-by-year from 2021. Previously, in 2021, Amsterdam town population was 5,585, an increase of 0.41% compared to a population of 5,562 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Amsterdam town decreased by 232. In this period, the peak population was 6,023 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Amsterdam town is shown in this column.
• Year on Year Change: This column displays the change in Amsterdam town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Amsterdam town Population by Year. You can refer the same here

The number of recipients of unemployment benefits has fluctuated significantly since 2000. Between 2000 and 2009 the number of recipients decreased from 50,000, which was the highest in the past 20 years, to 31,000. In 2021, the number of recipients increased to 43,000 following the coronavirus (COVID-19) pandemic, before decreasing to 40,000 people receiving unemployment benefits in 2022.

In 2021, there were 5,333 people living in Amsterdam per square kilometer of land. In comparison, in 2020 there were 5,352 people per square kilometer of land, meaning that there was a small decrease.

In 2022 there were approximately 308,000 first generation immigrants living in Amsterdam, approximately 13,000 more than the previous year. The population of migrants in Amsterdam fluctuated between the years of 1996 and 2007 from 182,000 in 1997 to 211,000 in 2005. It then gradually increased from 2007 until 2022, from 208,000 to 308,000.

This statistic shows the total population of the Netherlands from 2020 to 2024, with projections up until 2030. In 2024, the total population of the Netherlands was around 17.94 million people. Population of the Netherlands Despite its small size, the Netherlands is the twenty-third smallest nation in the European Union, and it is one of the most important nations in Europe and the world. The Netherlands is a founding member of the European Union, a member of the Group of Ten, and NATO. The total population of the Netherlands has rapidly increased over the past decade. Between 2004 and 2014, the total population increased by around 600 thousand people, currently estimated to be around 16.9 million altogether. The biggest cities in the Netherlands include Amsterdam, Rotterdam, and The Hague, with Amsterdam alone being home to almost 800 thousand residents. Among other factors, the Netherlands' increasing population is due to high life expectancy, economic growth and job opportunities. In 2011, the population of the Netherlands grew by around 0.47 percent in comparison to 2010. That same year, life expectancy at birth in the Netherlands was a little over 81 years, the highest recorded life expectancy since 2001. In addition, the unemployment rate in the Netherlands is one of the lowest unemployment rates in all of Europe.

In 2023, 17.81 million people were living in the Netherlands. The most populated age group was 50 to 55 years old, with 1.28 million people in that age range. Of these, 635,000 were male, and 640,000 were female. The distribution between male and female population was somewhat equal for all age groups, until the highest age groups. For 100 years and older, there were around 2,200 females and only about 400 males, while the distribution for people between the ages of 95 to 100 was 5,700 males and 18,100 females.

How is the population distributed by province?

The Netherlands counts 12 provinces, and naturally, the Dutch population is not distributed among them equally. In 2022, the most populated province was South Holland which includes cities such as Rotterdam and The Hague with 3.67 million residents. North-Holland, which includes the Dutch capital Amsterdam, had 2.85 million residents. The least populated province was that of Zeeland, with a mere 383,000 residents.

How does the Dutch population compare to the rest of Europe?

In 2021, the Netherlands had the eleventh highest population in Europe, with 17.17 million residents. This puts the Netherlands above Belgium with 11.63 million and below Romania with 19.12 million. Russia is the most populated European country with 145.91 million residents, meaning it has about 8.5 times the population of the Netherlands. The least populated country in Europe other than Vatican city is Gibraltar, with 34,000 inhabitants, meaning it has 0.2 percent of the population of the Netherlands

In 2023, Zuid-Holland was the most populated province in the Netherlands, with over 3.8 million inhabitants. That was over 800,000 inhabitants more than runner-up Noord-Holland, the province in which also the capital Amsterdam is located. That year, Amsterdam’s population alone made up 863,000 of Noord-Holland’s nearly three million inhabitants.

 Zuid-Holland   

Zuid-Holland’s largest city is Rotterdam, home to approximately 645,000 people. The third largest city in the Netherlands, Den Haag (or The Hague, as internationals would know it) is also located in Zuid-Holland. The city, which hosts the Dutch government as well as many international organizations, reached a population of roughly 538,000 in 2019.

Utrecht and Eindhoven  

 Completing the top five of the largest cities in the Netherlands are Utrecht and Eindhoven, located in the provinces Utrecht and Noord-Brabant. The city of Utrecht had nearly 353,000 inhabitants in 2019, or roughly one quarter of the entire population of the province bearing the same name. Eindhoven’s population reached nearly 232,000 that year, but as Noord-Brabant boasts two more of the largest cities in the country, Eindhoven plays a less central role in its own province as Utrecht does, despite being home to both Philips and one of the most successful football clubs in Dutch history, PSV Eindhoven.

Of the total non-Western population of approximately 2.53 million people in the Netherlands, people of Turkish origins formed the largest group with 430,000 people. The Dutch of Moroccan and Surinamese descent form the second and third-largest groups, with 419,300 and 359,800 people respectively.

About this dataset

Context

The dataset tabulates the Amsterdam 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 Amsterdam. The dataset can be utilized to understand the population distribution of Amsterdam by age. For example, using this dataset, we can identify the largest age group in Amsterdam.

Key observations

The largest age group in Amsterdam, MO was for the group of age 65 to 69 years years with a population of 28 (19.18%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Amsterdam, MO was the 10 to 14 years years with a population of 1 (0.68%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Amsterdam is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Amsterdam total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Amsterdam Population by Age. You can refer the same here

In the last decade, the population of the city of Utrecht increased by roughly 70,000. In 2009, Utrecht had approximately 300,000 inhabitants. By 2023, the number of inhabitants had grown to over 368,000. This was approximately one quarter of the total population of the province of the same name, of which the city of Utrecht is the capital. In 2021, the province of Utrecht had roughly 1.37 million inhabitants, making it the fifth-largest province in the country after South and North Holland, North Brabant and Gelderland.

 Fourth-largest city in the Netherlands   

With its 360 thousand inhabitants, Utrecht is one of the largest cities in the country. The capital, Amsterdam, is the largest city in the Netherlands, with roughly 873,000 inhabitants, followed by Rotterdam and The Hague. Utrecht follows in fourth place.

Rabobank and NS headquarters  

Utrecht is home to a large number of internationally operating companies, of which Dutch bank Rabobank is just one. One of the leading banks in the country, Rabobank had nearly 450 branches nationwide in 2018. The Rabobank headquarters are in Utrecht though, as are the headquarters of the national railway organization (NS). Utrecht also has the largest railway station in the country, receiving an average of nearly 272.8 thousand passengers every working day.

Between 2010 and 2024 in the Netherlands, the percentage of people who do not identify with any religion increased from 45 percent to 56 percent. The largest religious group in 2024 was the Roman Catholic group, with 17 percent of Dutch people identifying as Roman Catholic. In 2024, 14 percent of the Dutch population considered themselves a member of the three main protestant churches, the Dutch Reformed Church, the Protestant Church in the Netherlands, and the Reformed Churches in the Netherlands. The percentage of people who identify as Muslim has remained the same at five percent over the years. Do the people who identify with a religion always participate? The percentage of people in the Netherlands who participate in a religion is not necessarily the same as that of people who identify with a religion. The most prominent religious group, the Roman Catholics, only saw a participation of three percent, the same as those identifying with the Protestant Church, despite only six percent identifying with that denomination. The highest participation rate is in the group 'other' with four percent, despite only 10 percent identifying in those religions. It shows, therefore, that some religions see significantly higher participation rates despite a lower percentage identifying with it. Does the percentage of Muslims in the Netherlands align with the perceived percentage of Muslims? In 2018, the Dutch population believed that 20 percent of the population was Muslim, even though only five percent were Muslim. This overestimation of the Muslim population is in line with the rest of Europe. Germany, for example, predicted a Muslim population of 21 percent while the actual Muslim population was four percent. In Belgium, residents believed that 27 percent of the population was Muslim, while in reality, it was only five percent.

Trophic interactions play a key role in maintaining ecological balance. In urban environments, avian predation has been demonstrated to be particularly important due to its effects on community structure, pest control, and nutrient cycling. As humanity relies upon ecosystem services for sustenance, and with 70% of the global population projected to reside in urban areas by 2050, understanding the impact of urbanization on avian predation is becoming increasingly important. This study investigates the impacts of urban microclimates, shaped by impervious surfaces and green/blue infrastructure, and human-induced disturbances, on avian predation in urban areas, with the aim of testing the increased disturbance hypothesis. To assess the avian predation rate, plasticine caterpillars were placed in Quercus robur trees in the city of Amsterdam for a period of two months. The analyses evaluated the impact of artificial lighting at night, human population density, the urban heat island effect, impervious surfaces, vegetation, noise pollution, and water bodies on predation rates. The results indicated a substantial increase in predation during the second month, which was likely caused by an increase in naïve fledglings or elevated ambient temperatures. Noise pollution was identified as the most frequent and robust predictor of predation, consistently leading to a reduction in predation rates, possibly due to avoidance behavior. Other predictors exhibited substantial temporal and spatial variability. The variables related to urbanization increased predation in the initial month, suggesting that insectivorous birds prey on areas with higher illumination and temperature. However, the effect diminished in the subsequent month, potentially due to the increased daylight hours or a reduction in heating effects. During the second month, all predictors exhibited a negative effect on predation, thereby supporting the increasing disturbance hypothesis. These findings underscore the complex relationship between urban factors and avian predation, emphasizing the necessity for mitigation efforts in urban planning. Methods Study Site The city of Amsterdam (The Netherlands) was selected as the study site for this experiment due to several factors. The city has a high human population density with 5.336 people per km2 (CBS 2023), a significant vegetation presence, numerous water canals, and a negligible elevation difference throughout the city that might affect trophic interactions (Dean et al. 2024). In consideration of the findings presented by Hernández-Agüero et al. (2020), which demonstrated predation differences between tree species, this study exclusively utilized Quercus robur trees. The trees were selected from a georeferenced list of all trees in Amsterdam. The selection criteria included species and a maximum height of twelve meters, which was necessary for us to reach the branches. A total of 2,882 Q. robur trees were identified as eligible from a list of 259,431 trees in Amsterdam. The human population density, NDVI index and water percentage surrounding each tree were estimated, and the resulting ranges were divided into five categories. Only one tree per category of each was randomly selected. Ultimately, 38 trees were chosen based on variations in HPD, vegetation, and water presence (Figure 1). Avian Predation Data Collection The field experiment involved the placement of artificial plasticine caterpillars (N = 114) of three distinct colors as a proxy for prey organisms in Q. robur trees (N = 38) throughout Amsterdam. The coloration of prey organisms can influence the detection and selection of prey by avian species, as these animals primarily detect prey through visual cues (Ruxton et al. 2018). By using three different colors in our experiment, we ensured sufficient variability in predation pressure among study sites, at least for one color, independent of the time interval between tree visits, as is common in similar studies (e.g. Alonso-Crespo & Hernández-Agüero 2023, Hernández-Agüero et al 2024b). This approach permitted the comparison of predation levels between trees, even in instances where predation for a particular color was either nearly absent or so high as to preclude the observation of differences in the number of attacks. All colors demonstrated sufficient variability among trees, and thus no color was excluded from the analysis. The models were placed in week 15 (2024), with two reviews occurring at four-week intervals. This was done to account for potential temporal variability, with avian predation rates being highest in the summer months, thereby strengthening the potential for seasonal variability (Hernández-Agüero et al. 2020). During the reviews, we identified attack marks at the coarse taxonomic level with the assistance of the standardization proposed by Low et al. (2014). First, the avian predation marks were recorded, and the caterpillars were molded back to their original shape. The methodology employed was similar to that used by Alonso-Crespo and Hernández-Agüero (2023) (see Appendix Figure A1), with the caterpillars attached to tree branches with metal wires (diameter 0.5 mm). The average length of each caterpillar was approximately 30mm, with a diameter of 4mm. Given that invertebrate predation rates are higher when placed near the ground (Lövei and Ferrante 2017), and our objective was to observe avian predation, the caterpillars were placed at heights ranging between 1.5 and 2 meters. The plasticine caterpillar models were non-toxic and unscented, consisting of a mixture of waxes, inert substances, and colored pigments (STAEDTLER MARS GmbH & Co KG 2017). This material addresses the concerns raised by of Rößler et al. (2018) regarding the avoidance of polyvinyl chloride due to potential ingestion hazards. All models were molded exclusively by hand, resulting in slight differences between the models. However, this is the most reasonable method for creating caterpillar-like shapes with plasticine (Bateman et al. 2017). Spatial Analyses The averages of the urbanization-related predictors, vegetation presence, and water presence were calculated through zonal statistics in QGIS version 3.34.3 (QGIS 2023). This was conducted for buffers of 200 meters surrounding the trees where measurements were taken, in accordance with the methodology described by Valdés-Correcher et al. (2022). In addition to the 200-meter buffers, larger buffer zones of 400, 600, 800, and 1,000 meters were constructed in order to account for the dynamic nature of avian movement, and to examine the effects of these predictors across spatial scales. We requested satellite imagery from the Sentinel-II satellite through Copernicus, and the European Space Agency (ESA 2023) processed all satellite imagery. The MultiSpectral Instrument (MSI), comprising 13 spectral bands, and the high spatial resolution of Sentinel-II (10m/20m/60m) facilitate precise remote sensing analyses. The selection of imagery was based on several criteria to ensure its usability for reliable remote sensing. These criteria included the necessity for the imagery to originate from the same satellite, for the sensing periods to fall as close to the measurements as possible, and for cloud coverage to be limited to below 5%. These criteria adhere to the guidelines for remote sensing set forth by Lefsky and Cohen (2003) and Rembold et al. (2020). As this study incorporated remote sensing analyses for both vegetation and water infrastructures through the Normalized Difference Vegetation Index/NDVI (see Appendix Equation A1) and the Normalized Difference Water Index/NDWI (see Appendix Equation A2), and given that it was necessary to isolate vegetation and water areas to prevent misguided averages in their respective analyses, a remote sensing analysis on impervious surfaces through the Normalized Difference Built-up Index/NDBI (see Appendix Equation A3) was also conducted. The isolation of water, impervious surfaces, and vegetation was achieved by identifying the predictors and reclassifying them. Subsequently, inversions of the predictors were employed to isolate the respective predictors. Moreover, we acquired population data for Amsterdam from WorldPop (2018) to assess HPD (people/hectare), with a resolution of 100 x 100 meters. For ALAN, we extracted the modelled light emissions at night in 2022 (Watt/cm2/steradian) provided by the National Oceanic and Atmospheric Administration (NOAA) using the Visible Infrared Imager Radiometer Suite (VIIRS). This model was subsequently modified by the National Institute for Public Health and the Environment (RIVM in Dutch; RIVM 2023). We acquired noise data from RIVM (2020), which provides estimated noise pollution/Lden (level day-evening-night) in 2021 in dB. Anthropogenic noise pollution is defined as artificial noise originating from air traffic, industry, neighborhoods, rail traffic, and road traffic (Radford et al. 2012). The model encompassed all widely accepted primary sources of noise pollution, with the exception of noise from neighborhoods. Data Analyses We assessed the associations between standardized averages of the outlined predictors and the avian predation rates recorded with the plasticine caterpillars in R environment version 4.2.2 (R Core Team 2022), including packages ‘car’ (Fox and Weisberg 2019), ‘ggplot2’ (Wickham 2016), ‘Hmisc’ (Harrell 2024), ‘lme4’ (Bates et al. 2015), ‘MuMIn’ (Barton 2021), and ‘visreg’ (Breheny and Burchett 2017). A correlation analysis was conducted between variables within the 600-meter buffer zone, as this is the buffer zone of intermediate size. An additional check for multicollinearity was conducted using the Variance Inflation Factor to confirm the efficacy of the multicollinearity correction (see Appendix Table A2). As HPD, impervious surface, UHI effect, ALAN and NDVI exhibited high correlation coefficients (above ± 0.8; Table A1 in

In 2022, the largest foreign group of immigrants to the Netherlands came from Ukraine, with 99,700 immigrants. Polish, Dutch, Syrian and Turkish rounded out the top five foreign nationalities for immigrants to the Netherlands in that year.

About this dataset

Context

The dataset tabulates the population of New Amsterdam by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New Amsterdam. The dataset can be utilized to understand the population distribution of New Amsterdam by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New Amsterdam. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for New Amsterdam.

Key observations

Largest age group (population): Male # 20-24 years (41) | Female # 50-54 years (25). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the New Amsterdam population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Amsterdam is shown in the following column.
• Population (Female): The female population in the New Amsterdam is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in New Amsterdam for each age group.

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/.

Recommended for further research

This dataset is a part of the main dataset for New Amsterdam Population by Gender. You can refer the same here

Between 2009 and 2023, the population of Maastricht increased, from just over 118,000 to roughly 123,000 inhabitants. This was just over ten percent of the total number of people living in the Limburg province, of which Maastricht is the capital. In 2023, Limburg’s population amounted to roughly 1.12 million inhabitants, making it the seventh province in the country based on population size.

 Largest cities in the Netherlands   

Although a sizable city for Dutch standards, Maastricht was not among the ten largest cities in the Netherlands in 2022. The capital of the Netherlands, Amsterdam, is the largest city in the country, with roughly 883,000 inhabitants, followed by Rotterdam and The Hague. Utrecht, Eindhoven, Tilburg, Almere, Groningen, Breda and Nijmegen are all larger than Maastricht as well.

Leading university for international students  

Outside of the Netherlands, Maastricht is well-known for its research university, which attracts students from all over the world. Maastricht University has the largest number of international students of all institutes in the Netherlands, numbering roughly 10.9 thousand in 2020/21. According to the most recent figures, over 55 percent of Maastricht University’s students had roots outside the Netherlands – more than any other university in the country.

About this dataset

Context

The dataset tabulates the data for the Amsterdam, MO population pyramid, which represents the Amsterdam population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Amsterdam, MO, is 10.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Amsterdam, MO, is 44.7.
• Total dependency ratio for Amsterdam, MO is 55.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Amsterdam, MO is 2.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Amsterdam population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Amsterdam for the selected age group is shown in the following column.
• Population (Female): The female population in the Amsterdam for the selected age group is shown in the following column.
• Total Population: The total population of the Amsterdam for the selected age group is shown in the following column.

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/.

Recommended for further research

This dataset is a part of the main dataset for Amsterdam Population by Age. You can refer the same here

This table contains information regarding the mobility of the residents of the Netherlands aged 6 or older in private households, so excluding residents of institutions and homes. The table contains per person per day /year an overview of the average number of trips, the average distance travelled and the average time travelled. These are regular trips on Dutch territory, including domestic holiday mobility. The distance travelled is based on stage information. Excluded in this table is mobility based on series of calls trips. The mobility behaviour is broken down by modes of travel, purposes of travel, population and region characteristics. The data used are retrieved from The Dutch National travel survey named Onderweg in Nederland (ODiN). Data available from: 2018

Status of the figures: The figures in this table are final.

Changes as of 4 July 2024: The figures for year 2023 are added.

When will new figures be published? Figures for the 2024 research year will be published in mid-2025