The number of immigrants living in Denmark increased from 2014 to 2024. In 2014, there were 480,000 immigrants living in Denmark, whereas this number had increased to 700,000 in 2024. That year, there were over five million inhabitants of Danish origin, and 220,000 descendants residing in Denmark. The largest group of immigrants living in Denmark comes from Poland.

About this dataset

Context

The dataset tabulates the population of Denmark by race. It includes the population of Denmark across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Denmark across relevant racial categories.

Key observations

The percent distribution of Denmark population by race (across all racial categories recognized by the U.S. Census Bureau): 11.59% are white, 85% are Black or African American, 0.06% are American Indian and Alaska Native, 1.81% are Asian, 0.51% are some other race and 1.02% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Denmark
• Population: The population of the racial category (excluding ethnicity) in the Denmark is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Denmark 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 Denmark Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Denmark by race. It includes the distribution of the Non-Hispanic population of Denmark across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Denmark across relevant racial categories.

Key observations

Of the Non-Hispanic population in Denmark, the largest racial group is Black or African American alone with a population of 2,637 (85.64% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Denmark
• Population: The population of the racial category (for Non-Hispanic) in the Denmark is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Denmark total Non-Hispanic 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 Denmark Population by Race & Ethnicity. You can refer the same here

From 2000, the population in Denmark increased steadily. Next to an increasing number of people of Danish origin, the number of immigrants in the country also increased steadily over the past 24 years. At the beginning of 2024, there were more than twice as many people with an immigrant background living in Denmark compared to 2000. 5.02 million people were of Danish origin.

About this dataset

Context

The dataset tabulates the population of Denmark township by race. It includes the population of Denmark township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Denmark township across relevant racial categories.

Key observations

The percent distribution of Denmark township population by race (across all racial categories recognized by the U.S. Census Bureau): 95.96% are white, 0.28% are Black or African American, 0.11% are Asian, 0.22% are Native Hawaiian and other Pacific Islander, 2.24% are some other race and 1.18% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Denmark township
• Population: The population of the racial category (excluding ethnicity) in the Denmark township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Denmark township 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 Denmark township Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Denmark township by race. It includes the distribution of the Non-Hispanic population of Denmark township across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Denmark township across relevant racial categories.

Key observations

Of the Non-Hispanic population in Denmark township, the largest racial group is White alone with a population of 1,707 (98.56% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Denmark township
• Population: The population of the racial category (for Non-Hispanic) in the Denmark township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Denmark township total Non-Hispanic 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 Denmark township Population by Race & Ethnicity. You can refer the same here

A large majority of the people in Denmark who experienced discrimination based on their ethnic background did not report the incident to the police or another authority. The main reason for this was that the victims did not believe that it would have any consequences.

With nearly 49,000 living in Denmark as of January 1, 2024, most immigrants were from Poland. The second and third largest groups of immigrants were from Ukraine and Romania, amounting to roughly 41,000 and 40,000 people, respectively. Tightening immigration policies Like many European countries, Denmark experienced a heightened influx of immigrants in 2015. In the wake of the refugee situation, however, the number of immigrants, notably asylum seekers, declined in part due to sharpened immigration policies. In 2015, over 21,000 refugees applied for asylum in Denmark, whereas applications fell below 5,000 in 2022. Residence permits Among the different types of residence permits, permits granted based on asylum were the least delivered type of permit. Only 1,400 people were granted asylum in Denmark in 2022. The highest number of asylum seekers came from Ukraine, even when excluding Ukrainians arriving via the temporary protection act. In 2022, Denmark registered around 2,000 applications from Ukrainians.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Denmark town by race. It includes the distribution of the Non-Hispanic population of Denmark town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Denmark town across relevant racial categories.

Key observations

Of the Non-Hispanic population in Denmark town, the largest racial group is White alone with a population of 2,429 (92.50% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Denmark town
• Population: The population of the racial category (for Non-Hispanic) in the Denmark town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Denmark town total Non-Hispanic 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 Denmark town Population by Race & Ethnicity. You can refer the same here

This statistic shows the result of a survey on the favorite ethnic restaurant type in Denmark in 2018. That year, the majority favored Italian restaurants, with a share of 83 percent. Mexican food was popular too, with 62 percent of respondents stating to love eating there. Greek, French and Thai restaurants were also among the top five places for eating out in Denmark.

About this dataset

Context

The dataset tabulates the Denmark Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Denmark, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Denmark.

Key observations

Among the Hispanic population in Denmark, regardless of the race, the largest group is of Mexican origin, with a population of 28 (90.32% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Denmark
• Population: The population of the specific origin for Hispanic or Latino population in the Denmark is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Denmark total Hispanic or Latino 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 Denmark Population by Race & Ethnicity. You can refer the same here

Of the people who experienced ethnic discrimination in Denmark and did not report it, 60 percent chose not to report it because they believed it would not have any consequences. Of the people who experienced ethnic discrimination, 85 percent decided not to report it.

In Denmark, there are major variations in the earning levels of people with different ancestries. Moreover, during the past 10 years, immigrants from western countries have overtaken people of Danish origin as the group with the highest average annual salaries. In 2022, Danish-born workers had average earnings of nearly 248,000 Danish kroner annually, compared to 284,000 kroner among the western migrants. Meanwhile, both immigrants and descendants of immigrants from non-western countries had the lowest annual salaries. Of the two, non-western descendants had the lowest average salaries, earning 185,000 Danish kroner in 2022. Average salaries of all groups of ancestry increased over the past decade.

In Denmark, 56 percent of the respondents who had experienced discrimination considered leaving the country as a result. However, only nine percent of these considered this to a very high degree.

About this dataset

Context

The dataset tabulates the Denmark population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Denmark.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Denmark, SC Population Breakdown by Race
• Denmark, SC Non-Hispanic Population Breakdown by Race
• Denmark, SC Hispanic or Latino Population Distribution by Their Ancestries

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/.

In 2021, immigrants from Africa had the highest unemployment rate among foreigners in Denmark at 8.8 percent. Asians had the second highest unemployment rate at 7.5 percent, followed by people from the European Union. Meanwhile, people from Oceania had the lowest at only 2.2 percent.

In Denmark, discrimination based on ethnic origin was deemed as widespread by two-thirds of the respondents. Moreover, over 60 percent saw discrimination based on skin color as widespread. On the other hand, only just above one-third of the respondents saw discrimination based on a person being a man or a woman as widespread.

In 2023, younger generations of non-western immigrants and descendants reported that they had different types of applications (such as jobs, bank accounts, cell phone contracts) rejected because of their ethnicity more often than immigrants and descendants above 30 years. This was particularly the case among non-western immigrants and descendants from the Middle East and North Africa as well as Turkey.

This statistic displays the share of people of African descent experiencing racial discrimination in access to housing in the last five years in selected Nordic countries from 2015 to 2016. According to the results of the survey, 20 percent of people of African descent in Finland experienced racial discrimination in housing. The corresponding figure for people of African descent in Denmark was nine percent.

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which