Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Women's Apparel segment amounts to US$222,304m in 2020. The market is expected to grow annually by 7.4% (CAGR 2020-2025).
  • In global comparison, most revenue is generated in China (US$150,926m in 2020).
  • In relation to total population figures, per person revenues of US$262.16 are generated in 2020.
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The Women’s Apparel market covers apparel for women. Clothes for children and babies are separately defined. The market for Women’s Apparel is subdivided into the following segments: coats and outdoor jackets, blazers, suits & ensembles, dresses & skirts, trousers, sweatshirts, blouses, sports & swimwear, night & underwear and clothing accessories.
in-scope
  • Coats and Jackets
  • Blazers, Suits and Ensembles
  • Dresses and Skirts
  • Trousers
  • Sweatshirts and Blouses
out-of-scope
  • Work clothes
Women's Apparel Report 2020

Women's Apparel Report 2020

Statista Consumer Market Outlook
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Revenue (2020)
-17.1% yoy
US$222,304m
Average Revenue per Capita (2020)
-17.3% yoy
US$262.16

Revenue Revenue Growth

in the Women's Apparel market in million US$ in percent

Reading Support Revenue in the Women's Apparel segment amounts to US$222,304m in 2020. Reading Support The Women's Apparel segment is expected to show a revenue growth of 16.2% in 2021.

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  • Revenue
  • Revenue Growth
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Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region) in million US dollars for each year.


Revenue Growth:

The “Revenue Growth” box shows the year-over-year revenue development of the selected market (market segment, region) in percentage terms.

A definition and detailed explanation of the displayed markets can be found here.
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Average Revenue per Capita

in the Women's Apparel market in US$

Reading Support The average revenue per person in the segment for Women's Apparel amounts to US$262.16 in 2020.

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Average Revenue per Capita:

The ""Average Revenue per Capita"" box shows the average market value of the selected market (market segment, region) per person in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Volume Volume Growth

in the Women's Apparel market in million pieces in percent

Reading Support In the segment for Women's Apparel, volume is expected to amount to 17,676.31 m pcs. by 2025. Reading Support The segment for Women's Apparel is expected to show a volume growth of 12.8% in 2021.

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  • Volume
  • Volume Growth
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Volume:

The “Volume” box shows the apparent consumption of the selected product (market segment, region) in millions for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Average Volume per Capita

in the Women's Apparel market in pieces

Reading Support The average volume per person in the segment for Women's Apparel amounts to 16.75 pieces in 2020.

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Average Volume per Capita:

The ""Average Volume per Capita"" box shows the average volume of the selected market (market segment, region) per person for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Price per Unit

in the Women's Apparel market in US$

Reading Support The average price per unit in the segment for Women's Apparel amounts to US$15.65 in 2020.

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Price per Unit:

The ""Price per Unit"" box shows the average retail value per unit in the selected market (market segment, region) in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Global Comparison - Revenue

in the Women's Apparel market in million US$

Reading Support With a market volume of US$150,926m in 2020, most revenue is generated in China.

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Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.
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Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

201520162017201820192020202120222023 CAGR
(2015-2023)
Population in m
Number of individuals (all ages) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
0-4 years in m
Number of individuals (age 0-4) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
5-9 years in m
Number of individuals (age 5-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
10-14 years in m
Number of individuals (age 10-14) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
15-19 years in m
Number of individuals (age 15-19) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
20-24 years in m
Number of individuals (age 20-24) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
25-29 years in m
Number of individuals (age 25-29) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
30-34 years in m
Number of individuals (age 30-34) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
35-39 years in m
Number of individuals (age 35-39) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
40-44 years in m
Number of individuals (age 40-44) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
45-49 years in m
Number of individuals (age 45-49) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
50-54 years in m
Number of individuals (age 50-54) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
55-59 years in m
Number of individuals (age 55-59) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
60-64 years in m
Number of individuals (age 60-64) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
65-69 years in m
Number of individuals (age 65-69) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
70-74 years in m
Number of individuals (age 70-74) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
75-79 years in m
Number of individuals (age 75-79) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
80-84 years in m
Number of individuals (age 80-84) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
85-89 years in m
Number of individuals (age 85-89) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
90-94 years in m
Number of individuals (age 90-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
95-99 years in m
Number of individuals (age 95-99) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
100+ years in m
Number of individuals (age 100+) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
Female population in m
Number of female individuals (all ages) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices. | Source: Statista, based on UN DESA and national statistical offices
0-4 years in m
Number of female individuals (age 0-4) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
5-9 years in m
Number of female individuals (age 5-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
10-14 years in m
Number of female individuals (age 10-14) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
15-19 years in m
Number of female individuals (age 15-19) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
20-24 years in m
Number of female individuals (age 20-24) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
25-29 years in m
Number of female individuals (age 25-29) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
30-34 years in m
Number of female individuals (age 30-34) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
35-39 years in m
Number of female individuals (age 35-39) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
40-44 years in m
Number of female individuals (age 40-44) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
45-49 years in m
Number of female individuals (age 45-49) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
50-54 years in m
Number of female individuals (age 50-54) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
55-59 years in m
Number of female individuals (age 55-59) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
60-64 years in m
Number of female individuals (age 60-64) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
65-69 years in m
Number of female individuals (age 65-69) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
70-74 years in m
Number of female individuals (age 70-74) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
75-79 years in m
Number of female individuals (age 75-79) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
80-84 years in m
Number of female individuals (age 80-84) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
85-89 years in m
Number of female individuals (age 85-89) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
90-94 years in m
Number of female individuals (age 90-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
95-99 years in m
Number of female individuals (age 95-99) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
100+ years in m
Number of female individuals (age 100+) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
Male population in m
Number of male individuals (all ages) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
0-4 years in m
Number of male individuals (age 0-4) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
5-9 years in m
Number of male individuals (age 5-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
10-14 years in m
Number of male individuals (age 10-14) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
15-19 years in m
Number of male individuals (age 15-19) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
20-24 years in m
Number of male individuals (age 20-24) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
25-29 years in m
Number of male individuals (age 25-29) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
30-34 years in m
Number of male individuals (age 30-34) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
35-39 years in m
Number of male individuals (age 35-39) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
40-44 years in m
Number of male individuals (age 40-44) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
45-49 years in m
Number of male individuals (age 45-49) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
50-54 years in m
Number of male individuals (age 50-54) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
55-59 years in m
Number of male individuals (age 55-59) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
60-64 years in m
Number of male individuals (age 60-64) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
65-69 years in m
Number of male individuals (age 65-69) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
70-74 years in m
Number of male individuals (age 70-74) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
75-79 years in m
Number of male individuals (age 75-79) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
80-84 years in m
Number of male individuals (age 80-84) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
85-89 years in m
Number of male individuals (age 85-89) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
90-94 years in m
Number of male individuals (age 90-9) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
95-99 years in m
Number of male individuals (age 95-99) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
Business cycle
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GDP deflator
The GDP deflator is derived by dividing current price GDP by constant price GDP and is considered to be an alternate measure of inflation. Data are expressed in the base year of each country's national accounts. | Source: Statista, based on IMF
Unemployment rate in %
The indicator shows the share of unemployed people in the selected region, defined as persons without work that seek employment, as a percentage of the total labor force. The data is based on national estimates. The definitions of labor force and unemployment differ by country. | Source: Statista, based on IMF WEOD, World Bank and ILO
Domestic credit (% of GDP) in %
The indicator shows the share of all domestic credit of the total gross domestic product (GDP) in the region. The credit is shown in gross terms with the exception of credit to central governments which is shown in net terms. High levels of indebtedness can indicate the formation of a bubble that can cause an economic downturn. | Source: Statista, based on World Bank
Household income
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Income share of top 20% in %
Share of income that accrues to the income group of the highest 20% | Source: Statista, based on World Bank
Income share of second 20% in %
Share of income that accrues to the income group of the second 20% | Source: Statista, based on World Bank
Income share of third 20% in %
Share of income that accrues to the income group of the third 20% | Source: Statista, based on World Bank
Income share of fourth 20% in %
Share of income that accrues to the income group of the fourth 20% | Source: Statista, based on World Bank
Income share of lowest 20% in %
Share of income that accrues to the income group of the lowest 20% | Source: Statista, based on World Bank
Consumer spending, per capita (current prices)
Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Foodstuffs, beverages
Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Alcohol, tobacco
Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Clothing, footwear
Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Housing
Consumer spending per capita for housing, water, electricity, gas and other fuels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Household
Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Health
Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Transport
Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Communication
Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Recreation, culture
Consumer spending per capita for recreation and culture (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Education
Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Restaurants, hotels
Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Other
Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Consumer price index (CPI)
Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: Statista, based on IMF WEOD
Foodstuffs, beverages
Consumer price index for food and non-alcoholic beverages. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Alcohol, tobacco
Consumer price index for alcoholic beverages, tobacco and narcotics. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Clothing, footwear
Consumer price index for clothing and footwear. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Housing
Consumer price index for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Household
Consumer price index for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Health
Consumer price index for health. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Transport
Consumer price index for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Communication
Consumer price index for communication. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Recreation, culture
Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Education
Consumer price index for education. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Restaurants, hotels
Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Other
Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: Statista, based on IMF, national statistical offices
Price level (U.S.=100)
Estimated price level index for all goods and services for individual private consumption (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Foodstuffs, beverages
Estimated price level index for food and non-alcoholic beverages (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Alcohol, tobacco
Estimated price level index for alcoholic beverages, tobacco and narcotics (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Clothing, footwear
Estimated price level index for clothing and footwear (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Housing
Estimated price level index for housing, water, electricity, gas and other fuels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Household
Estimated price level index for furnishings, household equipment and routine maintenance of the house (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Health
Estimated price level index for health (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Transport
Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Communication
Estimated price level index for communication (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Recreation, culture
Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Education
Estimated price level index for education (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Restaurants, hotels
Estimated price level index for restaurants and hotels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Other
Estimated price level index for other goods and services (U.S.=100). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Tourism
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International tourism departures in m
Number of people from the selected region setting out to travel other countries for touristic purposes | Source: Statista, based on World Bank
International tourist arrivals in m
Number of visitors from abroad arriving in the selected region for touristic purposes | Source: Statista, based on World Bank
International tourism expenditure
International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. Domestic tourism expenditures are therefore not included. The data is not adjusted for inflation or currency effects. | Source: Statista, based on World Bank
International tourism receipts
International tourism receipts denote expenditures by inbound tourists from other countries in the selected region. Receipts from domestic tourism are not included. The data is not adjusted for inflation or currency effects. | Source: Statista, based on World Bank
International trade
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Trade (% of GDP) in %
Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: Statista, based on World Bank, OECD
Container port traffic in m TEU
Sum of on- and offloading of containers (TEU: 20 foot equivalent units) to marine vessels in the selected region | Source: Statista, based on UNCTAD, World Bank
Finance
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Banking penetration in %
Population share using a bank account | Source: Statista, based on World Bank
Credit card penetration in %
Percentage of the total population who own at least one credit card | Source: Statista, based on World Bank
Debit card penetration in %
Percentage of the total population who own at least one debit card | Source: Statista, based on World Bank
Online banking penetration in %
Estimated population share that uses the internet for accessing banking services | Source: Statista, based on World Bank and Eurostat
Bank branches, per 100,000 adults
Number of physical retail locations of commercial banks per 100,000 adults in the selected region | Source: Statista, based on IMF, World Bank
Households in m
The indicator shows the total number of private households in the selected region. Households denote residential communties of people living and keeping house together. Business facilities as well as institutional housholds (like unversity dormitories or retire homes) are not counted as households. | Source: Statista, based on national and international statistical offices
GDP, per capita (current prices)
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: Statista, based on IMF, World Bank, European Commission, OECD, ADB
Source: Statista, September 2020
Source: Statista, September 2020, based on IMF, World Bank, UN and Eurostat

Methodology

The Women's Apparel market is built on resources from the Statista platform as well as on in-house market research, national statistical offices, international institutions, trade associations, companies, the trade press, and the experience of our analysts. We evaluate the status quo of the market, monitor trends, and create an independent forecast regarding market developments of the global Women's Apparel industry.

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For the Women's Apparel market, our analysts create reports with detailed comparisons and important background information. Get an overview of trends and key players and consult comparisons of the focus regions USA, China, and Europe.

  • All the important data on the Women's Apparel market, including market size, forecasts, and regional comparisons
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