The number of foreign citizens as a share of the total population in Sweden increased steadily from 2010 to 2023. While 1.8 million foreign inhabitants lived in the country in 2010, the number had increased to 2.87 million in 2023. Over the same period, the number of Swedish inhabitants increased from 7.62 million to 7.69 million. Syrians made up the largest group of foreign-born citizens in the Nordic country that year.

This dataset was generated through the Diversity Barometer, a study tracking attitudes towards ethnic diversity and immigration in Sweden since 2005. The data were collected annually between 2005 and 2014, and biennially thereafter. Unweighted samples, consisting of adults aged between 18 and 75 years were used. The data can be managed and analyzed in the statistical program SPSS. The dataset includes the following variable categories: 1. Respondent descriptives 2. Interaction with persons with foreign background at school, work and in the neighborhood. 3. Cultural rights for persons with foreign background. 4. Social rights for persons with foreign background. 5. Immigration as beneficial to the Swedish society. 6. Immigration as a threat to the Swedish society. 7. Attitudes towards Swedish immigration policies. 8. Immigrants are exploited in the Swedish labor market. 9. Interest in interacting with immigrants and learning foreign cultures. 10. Attitudes towards religion in general, and Islam in particular. 11. Willingness to live in the same neighborhood as immigrants. 12. Immigrant-neighborhoods are problem neighborhoods.

About this dataset

Context

The dataset presents the median household income across different racial categories in New Sweden township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of New Sweden township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 95.83% of the total residents in New Sweden township. Notably, the median household income for White households is $106,875. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $106,875.

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in New Sweden township.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Sweden township median household income by race. You can refer the same here

Ethnic Diversity and Preferences for Redistribution attempts to explain if individual's preferences for redistribution change if the ethnic diversity increases in a municipality. In this case, selected parts of the Swedish Election Studies has been matched with municipal data for the time period between 1985 and 1994, when Sweden had an active placement program of refugees. This meant that the refugees themselves were not allowed to decide where to settle, but instead they were places in municipalities which had contracts with the Swedish Integration Board (Invandrarverket). Originally the idea of the program was to direct the refugees to municipalities with good labor market conditions, but since the number of refugees arriving to Sweden were larger than expected, so in practice more or less all municipalities were a part of the program. With the placement program refugees spread more across the country, than before the program. Ethnic Diversity and Preferences for Redistribution focus primarily on refugees from nations which not were members in the OECD 1994 and Turkey. The data comes from the Swedish Election Studies survey waves for the elections in 1982, 1985, 1988, 1991 and 1994. Primarily it consists of various background variables and variables about individual's preferences for private health care, nuclear power and social benefits. The municipal data primarily consist of various socio-economic and political variables, such as population, tax base, welfare spending and share of refugees. Some of these variables are the average of the term (1986-1988, 1989-1991, and 1992-1994). Purpose: Investigate the causal link between the ethnic diversity in a society and its inhabitants´ preferences for redistribution. Ethnic Diversity and Preferences for Redistribution försöker att belysa om individers preferenser kring omfördelning förändras i och med att den etniska mångfalden i en kommun ökar. I detta fall har utvalda delar från Svensk valundersökning matchats ihop med kommundata under perioden 1985 till 1994, då Sverige hade ett aktivt utplaceringsprogram av flyktingar. Detta innebar att flyktingarna inte själva fick bestämma var de skulle bosätta sig, utan att de istället placerades i kommuner enligt kommunvisa avtal med Invandrarverket. Från början var tanken att styra flyktingarna mot kommuner som hade gynnsamma arbetsmarknadsförhållanden, men eftersom flyktinginvandringen blev större än förväntat kom i praktiken i stort sett alla kommuner att omfattas. I och med utplaceringsprogrammet blev flyktingmottagandet mer spritt över landet. I Ethnic Diversity and Preferences for Redistribution fokuserar främst på de flyktningar/invandrare som kommer från nationer som inte var medlemmar i OECD 1994 samt Turkiet. Datamängden som är hämtad från den Svenska valundersökningen är från undersökningsvågorna för 1982, 1985, 1988, 1991 och 1994 års val. Främst handlar det om variabler kring olika bakgrundsfaktorer och kring individers preferenser för privat hälsovård, kärnkraft samt för sociala bidrag. Den kommunala datan består främst av olika socioekonomiska och politiska variabler såsom population, skattebas, välfärdsutgifter och andelen invandrare. Vissa av dessa variabler är genomsnittet för mandatperioden (1986-1988, 1989-1991 och 1992-1994) Syfte: Att undersöka orsakssambandet mellan den etniska mångfalden i ett samhälle och dess invånares preferenser för omfördelning. The study is based on data both from the Swedish Election Studies with a simple random sample of individuals between 18 and 80 years living in Sweden and eligible to vote in the parliamentary elections, and municipal data from all Swedish municipalities (total universe). From this matched data, it is only individuals which have lived in the same municipality in both survey waves which they are involved, so no other external circumstances affect the individual's preferences.The study is based on data both from the Swedish Election Studies with a simple random sample of individuals between 18 and 80 years living in Sweden and eligible to vote in the parliamentary elections, and municipal data from all Swedish municipalities (total universe). From this matched data, it is only individuals which have lived in the same municipality in both survey waves which they are involved, so no other external circumstances affect the individual's preferences. Studien baseras på datamaterial från både Svensk valundersökning som bygger på ett obundet slumpmässigt urval av individer mellan 18 och 80 år som är röstberättigade i riksdagsvalet samt kommundata från alla svenska kommuner (totala populationen). Ur detta datamaterial har man enbart valt att behålla de individer som har bott kvar i samma kommun i båda undersökningsvågorna som de har medverkat i, för att inte andra yttre omständigheter ska påverkar individernas preferenser.Studien baseras på datamaterial från både Svensk valundersökning som bygger på ett obundet slumpmässigt urval av individer mellan 18 och 80 år som är röstberättigade i riksdagsvalet samt kommundata från alla svenska kommuner (totala populationen). Ur detta datamaterial har man enbart valt att behålla de individer som har bott kvar i samma kommun i båda undersökningsvågorna som de har medverkat i, för att inte andra yttre omständigheter ska påverkar individernas preferenser.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Sweden town. The dataset can be utilized to gain insights into gender-based income distribution within the Sweden town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Sweden town, among individuals aged 15 years and older with income, there were 5,008 men and 5,504 women in the workforce. Among them, 2,279 men were engaged in full-time, year-round employment, while 1,911 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 10.36% fell within the income range of under $24,999, while 3.30% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 22.16% of men in full-time roles earned incomes exceeding $100,000, while 9.21% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Sweden town median household income by race. You can refer the same here

People born in Syria made up the largest group of Sweden's foreign-born population in 2023. Nearly 200,000 people born in Syria lived in Sweden as of 2023. Iraqi made up the second largest group of foreign-born citizens, followed by Sweden's neighboring country Finland. The total number of foreign-born citizens living in the Scandinavian country increased over the past 10 years.

Migration contributes to population growth

Sweden's positive net migration rate meant that it's population increased steadily since 2000. In 2022, over 100,000 people immigrated to Sweden, which was still significantly lower than the record year 2016.

Syrians fleeing civil war

The record number of refugees arriving in 2016 was driven by Syrians fleeing the Civil War in the country. Following the Arab spring and protests for democracy in 2011, fighting broke out between the Syrian national army and several armed factions. Several million people fled the country as a result, some of them seeking refuge in Sweden.

Ethnic Diversity and Preferences for Redistribution attempts to explain if individual's preferences for redistribution change if the ethnic diversity increases in a municipality. In this case, selected parts of the Swedish Election Studies has been matched with municipal data for the time period between 1985 and 1994, when Sweden had an active placement program of refugees. This meant that the refugees themselves were not allowed to decide where to settle, but instead they were places in municipalities which had contracts with the Swedish Integration Board (Invandrarverket). Originally the idea of the program was to direct the refugees to municipalities with good labor market conditions, but since the number of refugees arriving to Sweden were larger than expected, so in practice more or less all municipalities were a part of the program. With the placement program refugees spread more across the country, than before the program. Ethnic Diversity and Preferences for Redistribution focus primarily on refugees from nations which not were members in the OECD 1994 and Turkey.

The data comes from the Swedish Election Studies survey waves for the elections in 1982, 1985, 1988, 1991 and 1994. Primarily it consists of various background variables and variables about individual's preferences for private health care, nuclear power and social benefits. The municipal data primarily consist of various socio-economic and political variables, such as population, tax base, welfare spending and share of refugees. Some of these variables are the average of the term (1986-1988, 1989-1991, and 1992-1994).

Purpose:

Investigate the causal link between the ethnic diversity in a society and its inhabitants´ preferences for redistribution.

In 2023, people from 30 to 39 years of age made up the largest age group in Sweden. There were nearly 1.5 million people who belonged to this age group. People aged 50 to 59 years made up the second largest age group in Sweden, followed by people between 40 and 49 years. Moreover, there were nearly 1.2 million children between zero and nine, and 3,000 people aged 100 years or more.

Increasing population

Since 2000, the Swedish population increased steadily. This is mainly explained by the country's positive migration flow, but also that more people are being born than people dying.

Decreasing fertility rate

Even though the Swedish population increased steadily during this century, the country's fertility rate decreased steadily since 2010. In 2023, the number of babies born reached a record low. In Europe, however, Sweden's fertility rate is higher than the average.

Over the past 23 years, the total population of Sweden increased steadily. In 2000, there were nearly 8.9 million people living in the Scandinavian country, and this had increased to 10.55 million in 2023. The population growth is expected to continue over the next decades, and it is estimated that the population of Sweden will reach over 13 million by 2080.

Immigration drove the population growth

One main reason for the steadily increasing is the number of immigrants arriving in the country. Even though the number of immigrants fell since the peak in 2016, the population with a foreign background increased steadily over the past 10 years.

Syrians make up the largest group of foreigners

The high number of immigrants arriving in Sweden in 2016 was caused by the high number or refugees fleeing the Syrian Civil War. As of 2022, Syrians made up the largest foreign group residing in the country. Next to refugees from the Middle East, immigrants from other EU-members such as Poland and neighboring Finland constituted a high number of the foreign-born citizens living in the country.

Background

Native cattle breeds are important genetic resources given their adaptation to the local environment in which they are bred. However, the widespread use of commercial cattle breeds has resulted in a marked reduction in population size of several native cattle breeds worldwide. Therefore, conservation management of native cattle breeds requires urgent attention to avoid their extinction. To this end, we genotyped nine Swedish native cattle breeds with genome-wide 150K single nucleotide polymorphisms (SNPs) to investigate the level of genetic diversity and relatedness between these breeds.

Results

We used various SNP-based approaches on this dataset to connect the demographic history with the genetic diversity and population structure of these Swedish cattle breeds. Our results suggest that the Väne and Ringamåla breeds originating from southern Sweden have experienced population isolation and have a low genetic diversity, whereas the Fjäll breed has a large founder populati...

Population size is a main indicator of conservation potential, thought to predict both current and long-term population viability. However, few studies have directly examined the links between the size and the genetic and demographic properties of populations, using metrics that integrate effects across the whole life cycle. In this study, we combined six years of demographic data with SNP-based estimates of genetic diversity from 18 Swedish populations of the orchid Gymnadenia conopsea. We assessed whether stochastic growth rate increases with population size and genetic diversity, and used stochastic LTRE analysis to evaluate how underlying vital rates contribute to among-population variation in growth rate. For each population, we also estimated the probability of quasi-extinction (shrinking below a threshold size) and of a severe (90%) decline in population size, within the next 30 years. Estimates of stochastic growth rate indicated that ten populations are declining, seven increas..., The dataset contains six years of demographic data (2017-2022) from each of 18 populations of Gymnadenia conopsea on the island of Öland in Sweden, and the code to run integral projection models in R., , # Population viability of the orchid Gymnadenia conopsea increases with population size but is not related to genetic diversity

https://doi.org/10.5061/dryad.j6q573nqn

Description of the data and file structure

Demographic data was collected during six years in 18 populations of the perennial orchid Gymnadenia conopsea. Populations are located in Öland, Sweden, and vary in census size from 11 to >30000 flowering individuals.

Files and variables

File: Data_long_surv_with_2021_no_prev_dormancy_LA_clean v4.xlsx

Description:Â Demographic data collected during six years in 18 populations of Gymnadenia conopsea. Each row in the dataset corresponds to one individual in one year. Empty cells in the dataset indicate missing values in a given year, such as leaf length and width, or number of flowers in vegetative individuals.

Variables:

| ID | Individual identity ...

Sweden import data: Discover how this flourishing Nordic country strategically fosters growth via trade diversification and sustainability.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Sweden town. The dataset can be utilized to gain insights into gender-based income distribution within the Sweden town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Sweden town, among individuals aged 15 years and older with income, there were 188 men and 159 women in the workforce. Among them, 78 men were engaged in full-time, year-round employment, while 54 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 11.11% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 11.54% of men in full-time roles earned incomes exceeding $100,000, while 3.70% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Sweden town median household income by race. You can refer the same here

For details, please read the article.

In Sweden, a large majority of the population define themselves as Christians. Based on a representative survey reflecting 7.9 million of the Swedish population, 5.1 million of these define themselves as Christians, with 240,000 of these being very religious.

Crop diversification has been introduced as an environmental strategy in the ‘Greening’ of the EU Common Agricultural Policy (CAP) for 2015–2020. The primary target of crop diversification is soil and ecosystem resilience, but claims for potential benefits for farmland biodiversity are also common. However, understanding of relationships between the number (compositional heterogeneity) and spatial arrangement (configurational heterogeneity) of crop fields and biodiversity is generally poor, making such claims relatively unfounded. In this study, we monitored crop and farmland bird diversity on 178 farms across Sweden's main agricultural areas. From a pre-implementation assessment, we show that >97% of the assessed farms would not be required to change their management under the CAP crop diversification measure (minimum of three crops for farms with 30+ ha), suggesting that this measure has generated little change on Swedish farms. While accounting for non-crop elements and farming system (conventional or organic), we show that crop structural diversity (i.e. the management and vegetation structure of crops) rather than crop diversity senso lato positively affected richness of non-crop breeding bird species with stronger effects in arable, compared with forest-dominated landscapes. No such effects were observed among field-nesting farmland bird species. Organic farming had little influence on farmland birds with positive effects only in the most arable-dominated landscapes and for field-nesting species only. In forest-dominated landscapes, organic farms even held lower field-nester densities compared with conventional farms, possibly due to the dominance of grasslands on organic farms that in these landscapes support lower densities of field-nesting species compared with cereals. Policy implications. Our study illustrates the importance of a consideration of structural instead of species diversity of crops for biodiversity, in this case farmland birds. We also underline the absence of such a distinction in current EU Common Agricultural Policy Greening, while simultaneously setting levels on crop diversification too low resulting in little to no change in landscape-scale crop diversity on Swedish farmland. We recommend that future efforts to manage farmland biodiversity should include ways of increasing the structural diversity of crops at the scale of farms and landscapes.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Sweden town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Sweden town, the median household income for the households where the householder is White increased by $1,292(1.81%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $71,521 in 2013 and $72,813 in 2023.
• Black or African American: In Sweden town, the median household income for the households where the householder is Black or African American decreased by $280,223(85.32%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $328,437 in 2013 and $48,214 in 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Sweden town.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 Sweden town median household income by race. You can refer the same here

Over the past decade, the share of foreign pupils in primary schools in Sweden increased steadily. In the school year 2014/15, the share of foreigners in Swedish primary schools was below 20 percent. By 2023/24, this had increased to 27 percent.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within New Sweden township. The dataset can be utilized to gain insights into gender-based income distribution within the New Sweden township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within New Sweden township, among individuals aged 15 years and older with income, there were 127 men and 110 women in the workforce. Among them, 68 men were engaged in full-time, year-round employment, while 42 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 17.65% fell within the income range of under $24,999, while 14.29% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 35.29% of men in full-time roles earned incomes exceeding $100,000, while 9.52% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Sweden township median household income by race. You can refer the same here

This survey is the Swedish part of the 2010 'European Social Survey ' (ESS), and is focusing on family, work and well-being as well as justice. The survey also includes data on media and social trust, politics, subjective well-being, household characteristics and socio-demographics as well as human values as part of the core module of ESS.

Purpose:

The European Social Survey (the ESS) is an academically-driven social survey designed to chart and explain the interaction between Europe's changing institutions and the attitudes, beliefs and behaviour patterns of its diverse populations.