In France, the average number of people per household has been steadily declining for over five decades. Indeed, there was an average of *** people per household in 1962, compared to nearly *** person less in 2019 (2.18). More information on French demographics can be found here.

About this dataset

Context

The dataset presents median household incomes for various household sizes in French Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, French township did not include 4, 6, or 7-person households. Across the different household sizes in French township the mean income is $113,946, and the standard deviation is $68,593. The coefficient of variation (CV) is 60.20%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $40,083. It then further increased to $183,755 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/french-township-mn-median-household-income-by-household-size.jpeg" alt="French Township, Minnesota median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 French township median household income. You can refer the same here

In 2024, Slovakia had the highest average household size among EU member states, at 3.1 people per household. By contrast, Finland had the lowest average household size, at 1.9 people per household.

About this dataset

Context

The dataset presents median household incomes for various household sizes in French Settlement, LA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, French Settlement did not include 5, 6, or 7-person households. Across the different household sizes in French Settlement the mean income is $85,236, and the standard deviation is $42,538. The coefficient of variation (CV) is 49.91%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $33,125. It then further increased to $103,750 for 4-person households, the largest household size for which the bureau reported a median household income.

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

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 French Settlement median household income. You can refer the same here

This statistic shows the average number of members per household in France from 2012 to 2018. The number of people living in the same household in France remained the same through the years: *** on average.

About this dataset

Context

The dataset presents median household incomes for various household sizes in French Camp, MS, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, French Camp did not include 4, 5, 6, or 7-person households. Across the different household sizes in French Camp the mean income is $52,342, and the standard deviation is $40,460. The coefficient of variation (CV) is 77.30%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $18,000. It then further increased to $42,083 for 3-person households, the largest household size for which the bureau reported a median household income.

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

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 French Camp median household income. You can refer the same here

Average size of private households per municipality, department, region for Hauts-de-France (link to data download page). Definitions: In general, a household, in the statistical sense of the term, refers to all the occupants of the same dwelling without these persons necessarily being united by kinship or marriage (in the case of cohabitation, for example). A household may consist of only one person. The indicator shall be calculated by relating the number of persons living in a private household to the total number of private households of the entity. (Data since 1968).

About this dataset

Context

The dataset tabulates the median household income in French Creek town. It can be utilized to understand the trend in median household income and to analyze the income distribution in French Creek town by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• French Creek, New York Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in French Creek, New York: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in French Creek, New York
• French Creek, New York households by income brackets: family, non-family, and total, in 2022 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of French Creek town median household income. You can refer the same here

Key information about France Household Debt

• France Household Debt reached 2,062.2 USD bn in Jun 2025, compared with the reported number of 1,886.5 USD bn in the previous quarter
• France Household Debt: USD mn data is updated quarterly, available from Dec 1977 to Jun 2025
• The data reached an all-time high of 2,062.2 USD bn in Jun 2025 and a record low of 75.3 USD bn in Dec 1977

• In the latest reports, France Household Debt accounted for 59.9 % of the country's Nominal GDP in Dec 2024
• Money Supply M2 in France increased 3,560.1 USD bn YoY in Sep 2025
• France Foreign Exchange Reserves was measured at 33.3 USD bn in Oct 2025
• The Foreign Exchange Reserves equaled 0.5 Months of Import in Sep 2025
• France Domestic Credit reached 5,272.8 USD bn in Feb 2025, representing an increased of 2.3 % YoY

France Household Electric Grills Market size is growing at a faster pace with substantial growth rates over the last few years and is estimated that the market will grow at a CAGR of 2.6% in the forecast period. i.e. 2026 to 2032.

Key Market Drivers

Increasing Trend towards Outdoor Living: The growing trend of outdoor living and dining experiences among French homes is propelling the electric grill market forward. According to INSEE (French National Institute of Statistics and Economic Studies), French households spent an average of €897 on outdoor living equipment in 2023, up 15% from the previous year. This shift in lifestyle preferences has resulted in increased use of electric grills for balcony and terrace cooking.

Taille moyenne des ménages privés par commune, département, région pour les Hauts-de-France (lien vers la page de téléchargement de la donnée). Définitions : De manière générale, un ménage, au sens statistique du terme, désigne l'ensemble des occupants d'un même logement sans que ces personnes soient nécessairement unies par des liens de parenté ou du mariage (en cas de cohabitation, par exemple). Un ménage peut être composé d'une seule personne. L’indicateur est à calculer en rapportant le nombre de personnes vivant dans un ménage privé au nombre total de ménages privés de l'entité. (Données depuis 1968).

France FR: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data was reported at 16.390 % in 2010. France FR: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data is updated yearly, averaging 16.390 % from Dec 2010 (Median) to 2010, with 1 observations. France FR: Proportion of Time Spent on Unpaid Domestic and Care Work: Female: % of 24 Hour Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Health Statistics. The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.; ; National statistical offices or national database and publications compiled by United Nations Statistics Division; ;

Résumé

Le projet de recherche MAFE est une initiative de grande ampleur dont l'objectif est d'étudier les migrations entre l'Afrique subsaharienne et l'Europe. - Attention, la documentation des enquêtes MAFE est en langue anglaise. -

The MAFE project is a major research initiative focused on migration between Sub-Saharan Africa and Europe. It brings together ten European and African research centres working on international migration.

In the early XXIth Century, international migration from Sub-Saharan Africa to Europe has generated increasing public and policy attention. The flotilla of boats bringing would-be migrants to the Canary Islands, and attempts to reach Spanish territory in Ceuta and Mellila have drawn a rapid response from Europe in the form of new policy measures. Yet the scope, nature and likely development of Sub-Saharan African migration to Europe remained poorly understood, and, as a result, European polices may be ineffective. A major cause of this lack of understanding was the absence of comprehensive data on the causes of migration and circulation between Africa and Europe.

The MAFE project aimed at overcoming this lack of understanding by collecting unique data on the characteristics and behavior of migrants from Sub-Saharan countries to Europe. The key notion underpinning the project was that migration must not only be seen as a one-way flow from Africa to Europe. The argument was that return migration, circulation and transnational practices are significant and must be understood in order to design better migration policy.

The MAFE project focused on migration flows between Europe (Belgium, France, Italy, the Netherlands, Spain and the UK) and Senegal, the Democratic Republic of Congo and Ghana, which together accounted for over a quarter of all African migration to the EU at the time of the survey. In each of these "migration systems", the survey was designed to document four key areas: - Patterns of migration : *the socio-demographic characteristics of migrants, *the routes of migration from Africa to Europe, and *the patterns of return migration and circulation. - Determinants of migration: looking at departure, but also return and circulation and taking into account the whole set of possible destinations. - Migration and Development: MAFE documents some of the socio-economic changes driven by international migration, looking as often as possible at both ends of the Afro-European migration system, at the individual level. - Migrations and Families: the data collected by the MAFE project can be used to study all sorts of interactions between family formation and international migration. Although the survey was primarily designed to study international migration, it can also be used to study other phenomena, especially in Africa: domestic mobility, labor market participation, family formation, etc. Comparable data was collected in both 3 sending and 6 destination countries, i.e. in sub-Saharan Africa and in Europe. The data are longitudinal - including retrospective migration, education, work and family histories for individuals - and multi-level - (with data collected at the individual and household levels, in addition of macro-contextual data).

Please consult the official MAFE website for further details : https://mafeproject.site.ined.fr/en/

Geographic coverage

Six European countries and three African countries participated in the MAFE surveys. Data collection was carried out in both sending countries in Africa and destination countries in Europe, in order to constitute transnational samples. For MAFE Senegal, data was collected in Senegal (African part) and France, Italy and Spain (European part).

Analysis unit

Individual Household

Univers

SENEGAL Household: Households selected randomly from the updated list of households in the selected primary sampling units. Two strata were distinguished: the households with migrants and those without migrants. Individual: People aged 25-75 at the time of the survey, born in Senegal and who have/had Senegalese citizenship. This lower age limit was set in order to obtain informative life histories. By not including respondents younger than 25, the resources were used more effectively. The place of birth criterion was used to exclude people who were born out of their country of origin in order to exclude second generation migrants in Europe and to increase the homogeneity of sample. Up to two return migrants and partners of migrants, and one randomly selected other eligible person. Return migrants were eligible if their first departure was above at 18 or over.

EUROPE In all the European countries, the surveys were conducted among males and females who were aged 25 and over at the time of the surveys, and who were 18 or over when they had left Africa for the first time for at least one year. For MAFE Senegal, only migrants from Senegal were interviewed. This was a way to reinforce the homogeneity of the sample by excluding people of the 1.5 generation who are often "passive" migrants.

In theory, surveyed individuals must be representative of the whole population with these characteristics in the departure region and in the destination countries. The sample is composed of males and females. In Europe, in spite of a gender demographic disequilibrium, the objective was to include 50% of males and 50% of females in order to allow gender analyses.

Kind of data

survey data

Frequency of data collection

SENEGAL In Senegal, data collection activities started in November 2007 (selection of survey sites in Dakar and listing of households in the selected sites). They ended in September 2008 (data entry and data cleaning). Overall, 11 months were necessary to carry out all the activities related to data collection, and fieldwork lasted a little less than 6 months. Data collection was organized in two separate stages: the household survey was first conducted, and the biographic survey started after the household survey had been completed. The data collected in the household survey was used to prepare a sampling frame of individuals for the biographic survey; quick data entry of part of the questionnaires of the household survey was thus necessary before starting data collection for the biographic survey. Although this approach had advantages, it also lengthened the data collection process. This approach was not used for surveys in Ghana and DR Congo, where both surveys were conducted simultaneously.

EUROPE In France, Italy and Spain the surveys were conducted in 2008, before the start of the EU funded project. Data collection activities lasted approximately 6 months. Note: A second round was carried in Spain in 2010. About 400 Senegalese migrants were interviewed using exactly the same questionnaire. The data will be released in the future. For more information, contact: pau.baizan@upf.edu

Sampling procedure

Probability: Stratified

  SENEGAL

A three-stage stratified random sample was used. At the first stage, primary sampling units (census district) were selected randomly with varying probabilities. At the second stage, households were selected randomly in each of the selected primary sampling units (PSUs). At the third stage, individuals were selected within the households. a) Selection of primary sampling units (first stage) In the Senegal survey, the sample was designed to be probabilistic and representative of the Dakar region, and at the same time to maximize the chance of reaching households 'affected' by international migration (rare population). The sampling frame used to select the primary sampling units was the 2002 Population Census. The census districts (CD) -which are usually used as the primary sampling units in surveys in Senegal - have an average size of 100 households in urban areas. 60 primary sampling units were randomly selected at the first stage. This number of primary sampling units allows reaching a balance between a large dispersion of households (which decreases sampling errors) and a more concentrated sample (which reduces costs). The region of Dakar was divided into 10 strata of equal size, according to the % of migrant households within each of them (in average, 11.6% of the households were 'migrants'). 6 CD's per stratum were drawn, with a probability proportional to the number of households within each CD. In other words, census districts with a large number of migrants were more likely to be selected than those with low numbers of migrants. This approach increases the number of migrants interviewed in the individual survey, while still having a probabilistic sample representative of the target area. The listing of the households in the 60 selected primary sampling units was updated in order to select the sample of households. This stage was essential because a lot of changing occurred in some large neighbourhoods of Dakar since the previous census (2002), especially in suburban areas. This counting also allowed distinguishing between households with and without migrants. b) Selection of households (second stage) The following approach was used in MAFE-Senegal: - Households were selected randomly (using systematic random sampling) from the updated list of households in the selected PSUs. Two strata were distinguished: the households with migrants and those without migrants. A maximum of 50% of households with migrants were drawn in each district. Selected households that could not be reached (absence, refusals,…) were not replaced during the fieldwork. Replacement would distort the computation of sampling weights, and could also lead to bias the sample. To take account of refusals and absences

Snapshot img

Clotheslines Market Size 2025-2029

The clotheslines market size is forecast to increase by USD 67.5 million at a CAGR of 6.4% between 2024 and 2029.

The market is experiencing significant growth driven by the increasing awareness and adoption of sustainable drying methods. The benefits of natural drying, such as sustainability and eco-friendliness, resonate strongly with consumers, particularly those in regions with high energy costs or limited access to reliable electricity. Furthermore, as living spaces become more compact, the need to reduce average household energy consumption and save space is becoming a key consideration for homeowners and renters alike. However, the market is not without challenges. Regulations and standards regarding outdoor clotheslines and their impact on neighborhood aesthetics can limit market penetration in certain areas.
Additionally, the rise of electric and solar-powered clothes dryers, which offer convenience and energy efficiency, may pose a threat to the growth of the traditional drying solutions market. To stay competitive, companies must innovate and differentiate their offerings through thoughtful design, enhanced functionality, and strategic marketing. Incorporating artificial intelligence (AI) can further elevate product value by enabling features such as smart load detection, energy optimization, and predictive maintenance. By addressing these challenges and leveraging trends, especially sustainability, space-saving innovations, and AI integration, market players can effectively navigate the evolving landscape and capture a significant share of the growing demand for modern drying solutions.

What will be the Size of the Clotheslines Market during the forecast period?

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The clotheslines market encompasses various aspects, including tensioning, target audience, distribution, drying time, online presence, and more. Clothesline tensioning ensures optimal drying results, while comprehending the target audience's preferences drives sales. Distributors play a crucial role in reaching consumers, and drying time is a significant factor in user experience. Clotheslines offer UV protection and rust resistance, catering to the modern consumer's demand for eco-friendly and durable solutions. Sales channels span both physical and digital platforms, with online presence becoming increasingly essential.
Market segmentation reveals diverse customer needs, such as space optimization, line weight, and drying capacity. Competition in the market is fierce, with brands focusing on innovation, care instructions, and brand reputation. Pulley systems and drying techniques contribute to enhanced user experience, while product development and warranty are crucial elements of brand differentiation. Line material and drying technology also influence the market's evolution.

How is this Clotheslines Industry segmented?

The clotheslines industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  Offline
  Online


Product

  Folding frame
  Rotary
  Retractable
  Portable


Price Range

  Economy
  Mid-range
  Premium
  Luxury


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa



  APAC

    Australia
    China
    India
    Japan
    South Korea


  South America



  Rest of World (ROW)

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period. Clotheslines, a traditional yet effective solution for drying laundry, continue to hold significant value in the market. Offline sales, primarily through physical stores, dominate the market share. Consumers prefer this distribution channel for the tactile experience it offers, making it an effective marketing tool. During the forecast period, offline stores are expected to expand substantially, providing extensive reach and visibility to various clothesline offerings. Clotheslines are widely accessible in organized retail stores worldwide, including variety stores, branded outlets, specialty stores, hypermarkets, and departmental stores. The offline segment's appeal lies in its social experience, personalized attention, product demonstrations, easy returns, and immediate availability.

Home improvement stores, in particular, have become a popular destination for clothesline purchases due to their extensive selection and expertise in space-saving solutions. Clothesline designs cater to various needs and preferences, such as freestanding, ceiling-mounted, retractable, and wall-mounted options. Materials like stainless steel, aluminum, and rope are used to create durable and efficient clothesline systems. Energ

In Lyon, France, in 2022, the average number of household members was ****. Since 1968, this number clearly decreased, indeed, for that year households in Lyon were composed of **** members.

Key information about European Union Household Debt

• European Union Household Debt reached 7,877.1 USD bn in Oct 2025, compared with the reported number of 7,998.9 USD bn in the previous month
• EU Household Debt: USD mn data is updated monthly, available from Jan 1999 to Oct 2025
• The data reached an all-time high of 7,998.9 USD bn in Sep 2025 and a record low of 2,500.5 USD bn in Oct 2000

• In the latest reports, European Union Household Debt accounted for 50.9 % of the country's Nominal GDP in Jun 2025
• Money Supply M2 in European Union increased 18,352.1 USD bn YoY in Oct 2025
• European Union Foreign Exchange Reserves was measured at 322.0 USD bn in Oct 2025
• The Foreign Exchange Reserves equaled 1.2 Months of Import in Sep 2025
• European Union Domestic Credit reached 24,974.9 USD bn in Feb 2025, representing an increased of 1.6 % YoY

According to a survey conducted in July 2023 in France, more than ********* of French people without children, aged between 25 and 43, believed the ideal number of children a family should have was two, and ** percent thought the ideal number was just one. Only ***** percent believed it was ideal to have four or more children. On the other hand, for ** percent of those surveyed, it was ideal for a family to have no children at all. In 2022, **** percent of French families had two children.

Residential real estate rents in France declined slightly in 2023. Bedrooms for rent and houses made an exception, with the average rent for a bedroom rising to 453 euros per month, and the average rent for a house rising to 1,044 euros per month. A two-room apartment in 2023 cost on average 555 euros, down from 725 euros in 2022.

In France, the number of newly built housing units sold or booked for sale declined dramatically in 2023. In the third quarter of the year, there were about 16,000 sales to individuals — the lowest quarterly figure on record. The main reason behind this trend was the declining supply of newly built housing for sale.

Paris, Boulogne-Billancourt, and Versailles are the most expensive cities for residential real estate in France. In Paris, the average square meter price of an apartment was over 9,700 euros in December 2025, while the price for a house was even higher. Apartment prices in Paris went as high as 14,000 euros, depending on the arrondissement.