About this dataset

Context

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

Key observations

The largest age group in Cologne, MN was for the group of age 55 to 59 years years with a population of 297 (13.84%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Cologne, MN was the 85 years and over years with a population of 5 (0.23%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Cologne is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Cologne 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 Cologne Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Cologne by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Cologne. The dataset can be utilized to understand the population distribution of Cologne by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Cologne. 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 Cologne.

Key observations

Largest age group (population): Male # 55-59 years (170) | Female # 55-59 years (127). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Cologne population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Cologne is shown in the following column.
• Population (Female): The female population in the Cologne 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 Cologne 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 Cologne Population by Gender. You can refer the same here

Judgement on the civil service offerings currently and given a planned municipal re-organization. Attitudes to formation of a large district in the Cologne area.

Topics: The content of the questionnaire is largely identical to the questionnaire of ZA Study No. 0669.

Demography: age (classified); sex; marital status; religious denomination; school education; occupation; employment; household income; size of household; composition of household; head of household; city size; regional origins.

Judgement on the civil service offerings currently and with a planned municipal re-organization.

Topics: Attitude to municipal re-organization in general and to the recommendation of formation of so-called middle centers; knowledge of municipal reform; judgement on provision with public facilities such as offices and schools; attitude to decentralization of public offices; judgement on shopping opportunities at place of residence; judgement on the traffic situation, traffic connections, the street network and ideas about the development of infrastructure; means of transport used; housing desires, housing reality and satisfaction with housing; municipal residence construction; place of work and work mobility; local ties; regional origins; leisure activity and place of attending events; interest in sport, sport activities and judgement on sport facilities locally; excursion destinations and excursions in local recreational areas.

Demography: age (classified); sex; marital status; religious denomination; school education; occupation; employment; household income; size of household; composition of household; head of household; city size.

The attitude of the Cologne population to foreigners.

Topics: estimated proportion of foreigners in the Federal Republic; judgement on one´s own extent to which informed about the foreigner problem; primary sources of information; vacations in foreign countries and contacts with locals; place and type of daily contacts with foreigners; attitude to foreigners and hostility to foreigners (scale); hypothetical conduct with acts of violence between a foreigner and a German; attitude to selected actions against foreigners (scale); party preference.

Demography: age; sex; marital status; religious denomination; school education; occupational training; occupation; occupational position; area of business of company; income.

About this dataset

Context

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

Key observations

The percent distribution of Cologne population by race (across all racial categories recognized by the U.S. Census Bureau): 85.04% are white, 4.61% are Black or African American, 1.16% are American Indian and Alaska Native, 1.86% are Asian, 0.51% are Native Hawaiian and other Pacific Islander, 0.09% are some other race and 6.71% 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 Cologne
• Population: The population of the racial category (excluding ethnicity) in the Cologne is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Cologne 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 Cologne Population by Race & Ethnicity. You can refer the same here

4.37 million men in Germany used perfume every day in 2021. A further 5.65 million men used perfume several times a week.

The consumption and media analysis (Verbrauchs- und Medienanalyse) VuMA provides information on more than 1,000 brands and almost all products advertised in the media. The report provides data on usage and shopping behavior, media usage as well as opinions and attitudes of the German-speaking population aged 14 years and older.

A statistical quarter is part of the municipal division of territory. This hierarchical system divides the Cologne urban area at different levels into a city structure and a block structure. Other components include a road structure and addresses. The Statistical Quarters were included in the municipal division in 2020 as the successor to the districts for small-scale statistical analysis, as these no longer met changed data protection requirements. The entire municipal division is explained in this Publication. Definition: Statistical quarters have been created by dividing, merging or maintaining neighbourhoods with the aim of forming more homogeneous demographic structures, with the population of an area between 1000 and 3000. As a further goal, the assignment of all inhabited Cologne addresses was formulated. Therefore, addresses that are outside the conventional districts are assigned as exclaves to the nearest statistical district in the same district. A core area and its exclave(s) have the same key (attribute number) and name (attribute name). The attribute exklave differentiates between core area (exklave = n) and exclave (exklave = j). Explanation of the attributes is attached to the shapefile as CSV. Coordinate system Shapefile: ETRS 1989 UTM Zone 32N Coordinate system KMZ & JSON: WGS 1984 The data set Raumbezugssystem Geopackage. contains all spatial data of the municipal subdivision, electoral units and other subdivisions.

In 2024, around 16.24 million men in the German-speaking population aged 14 years and older stated that they have used eau de toilette or perfume for men in the last seven days. The Allensbach Market and Advertising Media Analysis (Allensbacher Markt- und Werbeträgeranalyse or AWA in German) determines attitudes, consumer habits and media usage of the population in Germany on a broad statistical basis.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Cologne, the largest racial group is White alone with a population of 1,790 (86.52% 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 Cologne
• Population: The population of the racial category (for Non-Hispanic) in the Cologne is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Cologne 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 Cologne Population by Race & Ethnicity. You can refer the same here

The contents of the present study at hand are data on the population of the territory of North Rhine-Westfalia and its government district, counties and urban counties, and the district-free cities as well for the period of the beginning of the official statistics in 1871 until to 1970 or 1980. The German Land North Rhine-Westfalia was founded in 1946. The particular value of this data compilation is the part of the data report for the North Rhine-Westphalian territory which includes the period of the German Empire and therefore the time period before the existence of this German Country. However, the counties and urban counties and communities of North Rhine-Westphalia exists already since the beginning of the 19th century and earlier (most of them since 1800), and have a history of about 200 years. Therefore, the use of historical documents and official historical statistics of these communities and counties allow the report of continuous and regional differentiated historical development of the North Rhine-Westphalian territory. The author Harald Klaudat used the historical demarcations of the counties and municipalities and their changes in the course of the history to develop an exact retrospective statistical history of population and workforce development for the period from 1871 until 1970 and partly until 1980. The author created with this comprehensive data manual the option of linking long historical time series with results of census data of the present.

Due to the extensive area changes in the period of 120 years covered, the comments are of particular importance. Because of the considerable scope of the study description, the comments, above all on the changes to the territorial boundaries, are attached as downloadable PDF-document.

An indication of additional studies: Further studies on the North Rhine-Westphalian population´s religious affiliation, Population in households by household size, and the population´s workforce by economical sectors will be processed and offered via histat for the download.

The already published data study za8681 with the title ´Historical Development of district-free cities and counties and their population´ focus on the historical development of the territory of the regions (period of existence, assignment of territories).

The data of the study at hand (ZA8682) are offered via histat under the topic ´Population´ (=Bevölkerung). The compilation refers to the following governmental districts and their counties, urban counties and district-free (independent) cities:

01 Regierungsbezirk (=governmental district) Aachen 02 Regierungsbezirk (=governmental district) Arnsberg 03 Regierungsbezirk (=governmental district) Duesseldorf 04 Regierungsbezirk (=governmental district) Cologne 05 Regierungsbezirk (=governmental district) Minden and Detmold respectively 06 Regierungsbezirk (=governmental district) Muenster 07 General territory or North Rhine-Westphalia (NRW) respectively.

The following issues are statistically reported for each governmental district and its territorial subcategorization:

A. Territory and Population B. Population by Age Groups C. Population by Age Groups and by Gender D. Population Movement (marriages, births, deaths) E. Population by Family Status and by Gender

Content

A dataset of counties that are representative for Germany with regard to

the average disposable income,

the quota of divorces,

the respective quotas of employees working in the services (excluding logistics, security, and cleaning) and the MINT sectors,

the proportions of age groups in the total proportion of the respective population, with age groups in five-year strata for the population aged between 30 and 65 and the population in the age range between 65 and 75 each considered separately for the calculation of representativeness.

In addition, data from the four big cities Berlin, München (Munich), Hamburg, and Köln (Cologne) were collected and reflected in the dataset.

The dataset is based on the most recent data available at the time of the creation of the dataset, mainly deriving from 2022, as set out in detail in the readme.md file.

Method applied

The selection of the representative counties, as reflected in the dataset, was performed on the basis of official statistics with the aim of obtaining a confidence rate of 95%. The selection was based on a principal component analysis of the statistical data available for Germany and the addition of the regions with the lowest population density and the highest and lowest per capita disposable income. A check of the representativity of the selected counties was performed.

In the case of Leipzig, the city and the district had to be treated together, in deviation from the official territorial division, with respect to a specific use case of the data.

In 2021, 3.53 million men in Germany used eau de toilette or eau de cologne every day. A further 7.19 million men used such products several times a week.

The consumption and media analysis (Verbrauchs- und Medienanalyse) VuMA provides information on more than 1,000 brands and almost all products advertised in the media. The report provides data on usage and shopping behavior, media usage as well as opinions and attitudes of the German-speaking population aged 14 years and older.

A social area is defined in the concept ‘Lebenswert Veedel - Bürger- und Sozialraumorientierung in Köln’. Launched in 2006 and adopted by the Council in 2010, the concept is intended to strengthen cooperation and networking between the city, private institutions and the population through projects on topics such as education, sport, culture or community. In 2019, the number of social spaces was expanded from 11 to 15 and the boundaries slightly changed. More information at https://www.stadt-koeln.de/leben-in-koeln/soziales/lebenswert-veedel Explanation of the attributes is attached to the shapefile as CSV. Equivalent to the Statistical quarters, which served as the basis for the layout of the social spaces, some social spaces have exclaves. These are indicated by the addition ‘(Exclave)’ in the attribute Name. Coordinate system Shapefile: ETRS 1989 UTM Zone 32N Coordinate system KMZ & JSON: WGS 1984 The data set Raumbezugssystem Geopackage. contains all spatial data of the municipal subdivision, electoral units and other subdivisions.

The city of Cologne gives all streets, paths and squares an official street name by decision of the district councils. A unique street key is assigned for this by the Office for Urban Development and Statistics. According to the legal basis, a new street code has been issued since September 1st, 2022 when a street is officially renamed.

The Cologne street directory provides an overview of all applicable street names and codes. Through various phases of incorporation, such as the municipal area reform in 1975, the number of streets in Cologne was expanded to include streets whose names already existed in the city area. A renaming was refrained from in order to save the affected population the costs incurred as a result. Duplicate street names can be distinguished using the unique street key. In the street directory, the municipal district is appended to the incorporated streets in brackets.

The street directory (standard) specifies the even and odd house number ranges of a street, broken down by district and zip code. Streets where no addresses exist are given without a house number range. The street directory is updated about every six months.

The street directory (district) shows the even and odd house number ranges of a street, broken down by district, Statistical district and zip code. Streets where no addresses exist are not given. The street index is updated about every six months.

The street index (elections) shows the even and odd house number ranges of a street, broken down by district, Postal code, electoral district, local electoral district, state constituency, Bundestag constituency. Streets where no addresses exist are not given. The street directory is updated before each election.

All geodata of the municipal area structure on which the street directory is based are published via the Cologne Open Data portal, e.g. B. Strassen Köln. The entire municipal area structure is presented in this Publication explained.

About this dataset

Context

The dataset tabulates the Cologne Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Cologne, 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 Cologne.

Key observations

Among the Hispanic population in Cologne, regardless of the race, the largest group is of Mexican origin, with a population of 53 (68.83% 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 Cologne
• Population: The population of the specific origin for Hispanic or Latino population in the Cologne is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Cologne 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 Cologne Population by Race & Ethnicity. You can refer the same here

A voting district is the most small-scale unit of electoral organization. In the event of an election, they are allocated a voting room for voting at the ballot box. Due to population growth and migration, the voting districts in a municipality must be regularly reviewed and, if necessary, reclassified. The currently valid classification comprises 503 electoral districts. New since 2024: There is a 1:1 relationship between voting districts and postal voting districts. The assignment can be found in the CSV file Mail Voting District. Explanation of the attributes is attached to the shapefile as CSV. Coordinate system Shapefile: ETRS 1989 UTM Zone 32N Coordinate system KMZ & JSON: WGS 1984 The data set Raumbezugssystem Geopackage. contains all spatial data of the municipal subdivision, electoral units and other subdivisions.

Additional file 1.

About this dataset

Context

The dataset tabulates the population of Cologne by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Cologne across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 53.4% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Cologne is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Cologne 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 Cologne Population by Race & Ethnicity. You can refer the same here

Judgement on contact with authorities by Cologne citizens.

Topics: detailed determination of contact with authorities in the last year; attitude to authorities (scale); expected influence of a positive impression with workers at government offices on the treatment of the client; expected influence factors on prompt processing of proceedings at government offices; information on personal readiness to provide information and honesty regarding authorities; suspicions about exchange of personal data between government offices; assessment of personal persuasiveness (scale); attitude to applying for governmental social services; detailed information on friendships and neighborhood relationships; exact determination of communication frequency and communication contents with persons of immediate vicinity and farther away; readiness to provide information about personal matters; assessment of the significance of personal charisma for professional career; type of personal dealing with authorities; type of social services received; adviser in official matters; political interest and judgement on the course of political decisions in Cologne; local residency; length of company employment.

Demography: age; sex; marital status; religious denomination; school education; employment; household income; size of household.

Interviewer rating: type of building; age of residential building; presence of other persons; disturbances and interruptions of interview; judgement on reliability and willingness of respondent to cooperate; length of interview.