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

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

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

About this dataset

Context

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

Key observations

In 2022, the population of Cologne was 2,072, a 0.19% decrease year-by-year from 2021. Previously, in 2021, Cologne population was 2,076, an increase of 0.78% compared to a population of 2,060 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Cologne increased by 1,008. In this period, the peak population was 2,076 in the year 2021. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

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

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

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

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

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

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

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.

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.

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 dataset contains information on the total resident population, male and female resident population on the county (Kreis), canton (Bezirk) and national level for the years 1969 to 1989. The information is based on the Statistical Yearbooks of the German Democratic Republic. The numbers for the county and national level are taken directly from the Statistical Yearbooks. The numbers for the canton level are the aggregated numbers of the county resident population (total, male and female) per canton and year. All population figures reflect the situation at the end of each year. Up to and including the year 1981, December 31 is given as a specific date of the recordings.
The research for this dataset was financed by the research grant KO 2239/3-1 “Spontane Revolution oder lange Wende? Eine soziologische Analyse der DDR und ihres Niedergangs auf Basis von Eingabenstatistiken zwischen 1970 und 1989” of the German Research Foundation (Deutsche Forschungsgemeinschaft;DFG).

Data from various sources are updated in the Statistical Information System of the City of Cologne. The annual statistical yearbook publishes these in tabular, graphic and cartographic form at the level of the city districts and districts. Furthermore, definitions and calculation bases are explained. Small-scale statistics at the level of the 86 districts can be obtained from the Cologne district information become. All levels of the local area structure are presented in this publication explained.

This statistical data catalogue supplements the range of small-scale data. Selected structural data can be called up here in compact tabular form at the level of the 570 statistical districts or the 86 districts. The two overviews provide information about which data is available and from which source it originates. The data itself is provided annually.

Notes:

• Data sources are indicated in the summary tables. When using the data, the data license Germany - attribution - version 2.0 must be observed.
• Some values ​​cannot be given to protect statistical confidentiality. For the data sets of the Federal Employment Agency, these are values ​​from 1 to < 10, for all further data records values ​​from 1 to < 5. This is marked in the data by a * .
• The differentiation of population figures by gender is currently made according to female and male residents. The case numbers of those who define themselves as non-binary/diverse are so low at a small-scale level that they cannot be reported for reasons of statistical confidentiality.
• The determination of residents with a migration background is carried out by combination various characteristics from the resident registration procedure. The data are to be interpreted as estimates. The statistical yearbook of the city of Cologne provides further details.
• The information on households comes from the household generation process. This is a statistical procedure in which residents within an address are assigned to a household as far as possible by querying certain criteria. If the procedure does not identify any connections, the allocation to single-person households takes place. The statistical yearbook of the city of Cologne provides further details.
• The data set pupils* at general schools (spatial location by place of residence) is available from 2013.
• The number of the statistical quarter or district is a spatial location and can be linked to the geodata (see related resource below).

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.
• population density, if the benchmark is defined as the national average density weighted by county population. This value is calculated by averaging the population-per-square-kilometer figures of all German counties, weighted by the population size of each county. In contrast to a simple arithmetic mean of county-level densities, which would disproportionately reflect sparsely populated areas, this method reflects the actual density of the environments where people live. The resulting value for the selected counties falls within the 95% confidence interval of the national weighted average.

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.

The German residential population 16 years old and older.

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

The Cologne street directory provides an overview of all applicable street names and keys. Through various phases of incorporation, such as the municipal regional reform in 1975, Cologne's street inventory was expanded to include streets whose names already existed in the city. The name was not changed in order to save the affected population the resulting costs. Duplicate street names can be distinguished using the unique street key. In the street directory, the city district is appended to the incorporated streets in brackets.

The Street Directory (Standard) indicates the even and odd house number ranges of a street, broken down by district > and postal code. Streets where no addresses exist are given without a house number range. The street directory is updated approximately every six months.

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

The Street Directory (Elections) indicates the even and odd house number ranges of a street, broken down by district, Postcode, voting district, local electoral district, state constituency, federal constituency. Streets where no addresses exist are not given. The street directory is updated before every election.

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

Subject of the datacompilation is the description of the natural and geographical population movement in modern german history.

Topics

Time Series Data in the downloadsystem HISTAT:

Population and Population Structure A.1 Size of Population and Population Growth A.2 Population Development in international comparison A.3 Population by age-groups A.4 Population by sex A.5 Population by municipal size A.6 Population by social characteristics (Family Status, Religious Denomination) A.7 Population by State/region (German States of FRG, GDR)

B. Population movement B.1 Marriages and Devorces B.2 Birth Statistics and Fertility Statistics B.3 Mortality B.4 Infant Mortality Statistics

C. Migration Statistics

D. Household Size and Family Structure

Perfume and Cologne Market Outlook

The global perfume and cologne market size is projected to grow from $50.85 billion in 2023 to $76.89 billion by 2032, registering a compound annual growth rate (CAGR) of 4.7% during the forecast period. The primary growth factor is the increasing consumer inclination towards personal grooming and rising disposable incomes, which have significantly boosted the demand for luxury and premium fragrances globally. Additionally, the growth of online retail platforms and the advent of e-commerce have made it easier for consumers to explore and purchase a wide variety of perfumes and colognes, further driving market growth.

One major factor contributing to the growth of the perfume and cologne market is the expanding middle-class population, especially in developing regions such as Asia-Pacific and Latin America. This demographic shift has led to an increase in disposable income, which in turn fuels the demand for luxury grooming products, including perfumes and colognes. As consumers in these regions become more brand-conscious and prioritize personal grooming, the market for perfumes and colognes is expected to witness substantial growth.

Another key growth driver is the rising awareness about personal hygiene and the desire to maintain a pleasant body odor, which is becoming increasingly important in social and professional settings. This social factor is propelling consumers to invest more in personal care products, including perfumes and colognes, thereby driving market growth. Additionally, the influence of social media and celebrity endorsements play a crucial role in shaping consumer preferences and boosting the popularity of various fragrance brands.

The market is also benefitting from technological advancements in fragrance formulation and packaging. Innovations such as long-lasting scents, eco-friendly packaging, and the development of natural and organic fragrances are attracting environmentally conscious consumers. Moreover, the introduction of customizable fragrances that cater to individual preferences and seasonal demands is further expected to drive market growth.

Perfume and Fragrances have long been an integral part of personal grooming, serving not only as a means to enhance one's scent but also as a form of self-expression. The art of perfumery dates back centuries, with fragrances being used in various cultures for religious ceremonies, medicinal purposes, and personal adornment. Today, the industry has evolved into a sophisticated market that caters to diverse consumer preferences and lifestyles. The allure of Perfume and Fragrances lies in their ability to evoke emotions, create memories, and convey a sense of identity. As consumers become more discerning, they seek fragrances that resonate with their personal style and values, driving the demand for unique and personalized scent experiences.

Regionally, North America and Europe continue to dominate the perfume and cologne market, primarily due to the presence of major fragrance manufacturers, high consumer awareness, and strong purchasing power. However, the Asia-Pacific region is anticipated to exhibit the highest growth rate over the forecast period, driven by rapid urbanization, increasing disposable incomes, and changing consumer lifestyles. The burgeoning popularity of Western beauty and grooming standards in countries such as China, India, and Japan is also expected to fuel market growth in this region.

Product Type Analysis

The product type segment of the perfume and cologne market can be categorized into Eau de Parfum, Eau de Toilette, Eau de Cologne, Eau Fraiche, and others. Eau de Parfum holds a significant market share due to its higher concentration of fragrance oils, which ensures a longer-lasting scent. This type of perfume is particularly popular among consumers who prefer a strong and enduring fragrance. The demand for Eau de Parfum is also driven by the increasing preference for luxury and premium products, which offer a more intense and sophisticated scent experience.

Eau de Toilette, characterized by its lighter fragrance concentration compared to Eau de Parfum, is another popular product type within the market. It caters to consumers who prefer a subtle and less overpowering fragrance, making it suitable for daily wear. The affordability of Eau de Toilette compared to other types also contributes to its widespread popularity, particularly among younger consumers and those purc

Reactions of the population to the demonstrations by Cologne schoolchildren and students against the price increase by the city public transport.

Topics: Degree of familiarity of the Cologne demonstrations; attitude to the cause of the demonstrations and appropriateness of the action of the students; judgement on the conduct of the police.

Demography: age (classified); sex; marital status; religious denomination; school education; vocational training; occupation; employment; household income; party preference; party inclination; party identification; state.

Family structure and leisure time behavior of the Cologne population.

Topics: Assessment of the individual economic situation; attitude to reduction in working hours versus wage increase; housing conditions; family size; family life; attitude to marriage and family; first intimate relations and pre-marital sexual intercourse; hobbies; club membership; party membership; behavior at the polls in the state parliament election 1954; detailed determination of leisure time behavior; reading habits and media usage; religiousness; class index; index of authority relationships in one´s family.

Demography: age (classified); sex; marital status; family composition; number of children; religious denomination; school education; vocational training; further education; occupation; employment; income; household income; size of household; composition of household; possession of durable economic goods; membership.

Interviewer rating: willingness to cooperate; presence of other persons; sincerity of the responses; condition of residence; social class of respondent.

See also ZA Study No. 0669 which presents a comparison survey to this investigation.

The subject matter is the historical development of North Rhine-Westphalian independent towns and districts according to the number of municipalities, their area and their inhabitants and population density. North Rhine-Westphalia was founded shortly after the Second World War on 23 August 1946. The special feature of this study is that the development of the towns and districts was calculated back to 1871 while keeping the area constant so that a historical comparison is possible. Long before the formation of the state of North Rhine-Westphalia in 1816, urban and rural districts were formed in the government districts within the new Prussian provinces, which were newly created at that time and had mostly not changed much to this day. They were summarized in the Prussian circle orders as circles and accordingly also in the Prussian statistics always summarized.

Nevertheless, numerous municipal reorganizations that took place in the course of time after 1946 were also a challenge for the statistical presentation of the development of the districts and cities.

The exterior of today´s 23 district-free towns with an average size of 169 square kilometers and 31 districts with an average of 974 square kilometers has changed fundamentally compared to the initial level of 1816/17 when four districts with an average of 20 square kilometers and 74 districts with approx. 440 square kilometers existed in the then Prussian area of today´s North Rhine-Westphalia. The purely numerical change from an initial 78 urban and rural districts to today´s 54 district-free towns and districts is also gaining in importance in view of the fact that between 1816 and 1975 a total of 176 municipal administrative districts were established in the entire North Rhine-Westphalian region - even if they did not exist at the same time - of which 122 disappeared again.

The figures published here are primarily intended to provide initial indications and some further aids for a fundamental orientation within the indicated confusion of the development of district-free cities and districts, including their statistical presentation. For this purpose, the note section is essential, which could not be completely adopted in the downloadable tables.

Due to the changed system, most of the tables for 1987 were not included in the tables available for download here. The comprehensive notes and tables can also be viewed in the attached PDF document.

advice The following studies are in preparation for the same zoning: Data on the population by age, gender, marital status and religion Data on the economically active population data on workplaces and employees, and data on the number of residential buildings

A. Düsseldorf administrative district A.01 General overview of the administrative district Düsseldorf with its municipalities (towns and rural municipalities) A.02 Urban districts and independent cities in the Düsseldorf administrative district A.03 Administrative districts of Düsseldorf A.03.01 Reg-Bez. Düsseldorf: the district of Düsseldorf A.03.02 Reg-Bez. Düsseldorf: the district of Kleve A.03.03 Reg-Bez. Düsseldorf: the district Dienslaken A.03.04 Reg-Bez. Düsseldorf: the district of Geldern A.03.05 Reg. district of Düsseldorf: the Grevenbroich district A.03.06 Reg-Bez. Düsseldorf: the district Kempen-Krefeld A.03.07 Reg-Bez. Düsseldorf: the district of Moers A.03.08 Reg-Bez. Düsseldorf: the district Rees A.03.09 Reg-Bez. Düsseldorf: the district Solingen-Lennep respectively Rhein-Wupper-Kreis A.03.10 Reg-Bez. Düsseldorf: the district of Essen A.03.11 Reg. district of Düsseldorf: the Gladbach district A.03.12 Reg-Bez. Düsseldorf: the district Mülheim a.d.Ruhr

B.. Cologne administrative district B.01 General overview of the administrative district of Cologne and its municipalities (towns and rural municipalities) B.02 Urban districts and independent cities in the Cologne administrative district B.03 Administrative districts of Cologne B.03.01 Reg-Bez. Cologne: the district Bergheim B.03.02 Reg-Bez. Cologne: the district of Bonn B.03.03 Reg-Bez. Cologne: the district of Euskirchen B.03.04 Reg-Bez. Cologne: the district Gummersbach B.03.05 Reg-Bez. Cologne: the district of Cologne B.03.06 Reg-Bez. Cologne: the district Mülheim am Rhein B.03.07 Reg-Bez. Cologne: the district Rheinbach B.03.08 Reg-Bez. Cologne: the district Waldbröl B.03.09 Reg-Bez. Cologne: the district Wipperfürth B.03.10 Reg. ref. Cologne: the winning circle B.03.11 Reg-Bez. Cologne: the Oberberg district B.03.12 Reg-Bez. Cologne: the Rheinisch-Bergische Kreis

C. Aachen administrative district C.01 General overview of the administrative district Aachen with its municipalities (towns and rural municipalities) C.02 Municipalities and independent towns in the administrative district of Aachen C.03 Administrative districts of the administrative district of Aachen C.03.01 Reg-Bez. Aachen: the administrative district of Aachen C.03.02 Reg-Bez. Aachen: the district of Düren C.03.03...

répartition par catégories socioprofessionnelles de la population de Cologne