This statistic shows the share of economic sectors in the gross domestic product (GDP) in Mongolia from 2013 to 2023. In 2023, the share of agriculture in Mongolia's gross domestic product was 9.92 percent, industry contributed approximately 39.54 percent and the services sector contributed about 41.04 percent.

In 2023, Inner Mongolia Yili Industrial Group Co., Ltd., Asia’s leading dairy company, generated a total revenue of around 125.8 billion yuan. This was a revenue increase of around 2.5 percent compared to the previous year and more than doubled the revenue from eight years earlier.  The fiscal year end of the company is December 31st. Dairy industry in China The Chinese dairy industry produces approximately 31 million metric tons of cow’s milk per year. While the number of dairy cows is projected to see a slight growth in the coming years, the productivity per cow as well as milk quality is expected to continue to improve. Privatization regulations, dairy corporate support and dairy farm expansion are among state priorities that help to boost the dairy market in China. The traditional dairy-free Chinese diet has been changing, and milk products are becoming a daily norm, especially in the northwest region and major cities across the country. In 2024, the retail sales value of dairy products is estimated to reach around 565 billion yuan.   Yili Group Yili Group is the largest dairy processor in China, established in 1993 and headquartered in Hohhot, the provincial capital of Inner Mongolia. It’s a state-controlled enterprise listed on the Shanghai Stock Exchange. The largest share of the company’s revenue comes from liquid milk production. Other products include milk powder, yogurt, ice cream, and raw milk. As of 2023, Yili Group generated a gross profit of around 11.7 billion yuan and owned total assets of around 151.6 billion yuan.

Mongolia MN: Claims on Other Sectors of The Domestic Economy: % of GDP data was reported at 65.632 % in 2017. This records a decrease from the previous number of 68.377 % for 2016. Mongolia MN: Claims on Other Sectors of The Domestic Economy: % of GDP data is updated yearly, averaging 40.684 % from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 68.377 % in 2016 and a record low of 9.918 % in 2001. Mongolia MN: Claims on Other Sectors of The Domestic Economy: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mongolia – Table MN.World Bank.WDI: Bank Loans. Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.; ; International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.; Weighted average;

The statistic shows the distribution of employment in Mongolia by economic sector from 2012 to 2022. In 2022, 26.33 percent of the employees in Mongolia were active in the agricultural sector, 22.08 percent in industry and 51.59 percent in the service sector.

This horizontal bar chart displays X followers (followers) by sector using the aggregation sum and is filtered where the country is Mongolia. The data is about companies.

This horizontal bar chart displays tweets by industry and is filtered where the country is Mongolia. The data is about companies.

Claims on other sectors of the domestic economy (annual growth as % of broad money) in Mongolia was reported at 18.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mongolia - Claims on other sectors of the domestic economy (annual growth as % of broad money) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

Industrial Production: Large Tractor: Year to Date: Inner Mongolia data was reported at 0.000 Unit in Feb 2021. This stayed constant from the previous number of 0.000 Unit for Dec 2016. Industrial Production: Large Tractor: Year to Date: Inner Mongolia data is updated monthly, averaging 0.000 Unit from May 2016 (Median) to Feb 2021, with 9 observations. The data reached an all-time high of 0.000 Unit in Feb 2021 and a record low of 0.000 Unit in Feb 2021. Industrial Production: Large Tractor: Year to Date: Inner Mongolia data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production: Large Tractor: By Region.

In 2023, Chinese dairy company Yili generated a revenue of over 27 billion yuan from milk powder and yogurt products. Inner Mongolia Yili Group is China's largest dairy product producer.

Mongolia MN: Claims on Other Sectors of The Domestic Economy: Annual Growth as % of Broad Money data was reported at 16.687 % in 2017. This records an increase from the previous number of 9.753 % for 2016. Mongolia MN: Claims on Other Sectors of The Domestic Economy: Annual Growth as % of Broad Money data is updated yearly, averaging 26.878 % from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 63.618 % in 2013 and a record low of 1.172 % in 2009. Mongolia MN: Claims on Other Sectors of The Domestic Economy: Annual Growth as % of Broad Money data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mongolia – Table MN.World Bank.WDI: Bank Loans. Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.; ; International Monetary Fund, International Financial Statistics and data files.; ;

This horizontal bar chart displays revenues ($) by stack using the aggregation sum and is filtered where the country is Mongolia. The data is about companies.

Mongolia MN: Firm with Female Top Manager: % of Firms data was reported at 35.600 % in 2013. This records a decrease from the previous number of 36.400 % for 2009. Mongolia MN: Firm with Female Top Manager: % of Firms data is updated yearly, averaging 36.000 % from Dec 2009 (Median) to 2013, with 2 observations. The data reached an all-time high of 36.400 % in 2009 and a record low of 35.600 % in 2013. Mongolia MN: Firm with Female Top Manager: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mongolia – Table MN.World Bank.WDI: Company Statistics. Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average; Relevance to gender indicator: Women are vastly underrepresented in decision making positions at the top level in the private sector and this indicator monitors progress that has been made.

This horizontal bar chart displays companies by LinkedIn link using the aggregation count and is filtered where the country is Mongolia. The data is about companies.

Abstract

A 2002-2003 Labour Force Survey with Child Activities Module is a first national survey that ever conducted in Mongolia which captures all four quarters in order to elicit information on the seasonality in labour supply and demand. Particularly, the survey aimed at collection of comprehensive data on employment, underemployment, unemployment and child labour to enable the estimate of the related indicators by regions, sectors and social and economic categories. The overall objective of the survey was to build the national capacity for conducting employment and other household based socio-economic surveys and provide the data to benefit the policy making and planning for the national development and social welfare.

Geographic coverage

The survey is nationally and regionally (5 regions - West, Central, East, South, Ulaanbaatar) representative and covers the whole of Mongolia.

Analysis unit

• Household
• Individual

Universe

The survey covered all de jure household members aged 5 and over resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame derived from the Census of Population 2000 was used in the survey design. The institutional facilities such as hostels, army barracks, boarding houses, etc. were excluded from the frame and a truncated frame comprising ordinary households was prepared. Considering the socio-economic stratification of the main items canvassed through the survey it was considered that Mongolia should be classified into urban, rural and regional stratifications. Accordingly, Mongolia was divided into urban and rural areas and Ulaanbaatar, Central, East, West and Khangai regions. A two stage stratified random sampling design was adopted with baghs (census enumeration areas) as primary sampling units (PSUs) and households as secondary sampling units (SSUs). The frame which had baghs grouped by district and province in effect provided an implicit stratification for the PSUs for the probability proportional to size systematic random sampling procedure adopted in the selection of the PSUs. In order to capture seasonal variations in labour supply and demand a two stage stratified random sampling design was adopted to enable the preparation of estimates for 9 strata comprising the capital city of Ulaanbaatar, and the urban and rural sectors of the 4 geographic regions into which the country is divided.

The survey sampled 3,200 households or more than 12000 persons in each quarter that was sufficiently large for the preparation of statistically reliable estimates on key variables based on the data from the 4 quarterly rounds. The questionnaire was designed to capture labour supply and demand under both currently active and usually active concepts based on a short reference period of 1 week before the survey and a long reference period of one year considering the large proportion of the working population that was engaged in agriculture and livestock production activities.

Refer Appendix 3 of the Main Report for details of sampling design.

Sampling deviation

10 households were to be selected from every sample enumeration area in all strata in each Quarter, but due to non-response/ absence of sampled households the enumerated number was less than 10 households in a few enumeration areas.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed to produce data and information to achieve the objectives, scope and coverage described earlier. In designing a questionnaire, the currently active and usually active concepts were used and child labour and child activities module was integrated as the last section of the questionnaire. The questionnaire was completed by trained interviewers who visited all sampled households to take face to face interviews and collect comprehensive information on the economically active and economically inactive population. A reference period of 7 days preceding the survey was used in the currently active population section of the questionnaire to derive the activity status of the population of working age that was extended to cover children. Considerable attention was paid towards examination and identification of economic activities for an accurate assessment of the economically active population through an inclusion of activities undertaken in a predominantly agricultural subsistence economy.

Since the animal husbandry plays a dominant role in the economy of Mongolia, a long reference period or the usual status approach of measuring employment with a reference period of 12 months was used in identifying economically active status and recording the employment, unemployment and economically inactive status in the reference period of 12 months preceding the survey.

ILO/ IPEC had been interested in incorporating a child activities module in the labour force survey and offered to co-finance the cost of the survey. The child activity section was designed to measure the participation of children in economic and non-economic activities within and outside the household and illness and injuries related to work. Accordingly, in this section questions to canvass information on the participation of children aged 5-17 years in household chores, age at first employment outside the household, illnesses and injuries related to work was drafted and included in the questionnaire. Further the age cut off on questions on education and training and economic activity was also lowered to 5 years to enable the collection of comprehensive information on child activities.

Several drafts of the questionnaires were prepared and internally discussed and revised versions were prepared. The NSO finalized the questionnaire through extensive consultations with Steering Committee, various Ministries of the Government of Mongolia, representatives of trade unions and employers, and international agencies based in Ulaanbaatar. The following topics and items of information were canvassed through the survey.

A. Demographic Characteristics a. Relationship to household head b. Sex c. Date of birth and age d. School attendance, ever attended, current attendance e. Highest grade/level completed f. Literacy g. Marital status

B. Labour Force Characteristics based on short and long reference periods Current activities performed and time spent on them a. Participation in identified economic activities during the reference week. b. Total time in hours spent on identified economic activities during the reference week c. Participation in identified non-economic activities during the reference week. d. Total time spent on activities described in c above. e. Activity status during the last 7 days. f. Primary and secondary occupations under current status. g. Duration of employment in primary and secondary occupations h. Average number of hours spent on primary and secondary occupations under current status i. Industrial and occupational attachments in primary and secondary occupations j. Employment status in primary and secondary occupations k. Sector of employment of the enterprise l. Average number of hours worked in the primary and secondary occupations m. Number of paid employees in the enterprise in the primary and secondary occupations n. Earnings from primary and secondary occupations in cash and in kind o. Availability for more work p. Reasons for not working more hours q. Duration of underemployment r. Steps taken to find more work

C. Unemployment s. Availability for work t. Reasons for economically inactive status u. How long had respondent sought work v. Expected kind of work/occupation w. Expected daily wage rate/monthly remuneration x. Whether registered at Employment Registration Office y. Period of registration z. Steps taken to find work aa. Duration of unemployment

D. Usually Active Status bb. Activity status during the last 12 months cc. Primary and secondary occupations during the past 12 months dd. Industrial and occupational attachments in primary and secondary occupations during the past 12 months ee. Duration of unemployment ff. Steps taken to find work gg. Employment status in primary and secondary occupations hh. Average monthly wages and earnings during the past 12 months from primary and secondary occupations E. Past Employment Record a. Occupation, industry and sector in which the respondent last worked b. Duration of employment in last occupation c. Employment status in last occupation d. Last date worked e. Sector to which the industry where the respondent worked belonged f. Main reason for leaving the last job/occupation g. Main source of income support during the period of unemployment

F. Child Activities a. Main types of chores performed in the household. b. Current school attendance. c. Reasons for not attending school full time. d. Participation in any household economic activity. e. Age at which the child first began to work. f. Reasons for participation in economic activity. g. Whether the child had engaged in any work other than in household economic activity and reasons for engaging in such work. h. Whether the child engage in work under supervision by others. i. Whether the child is satisfied with the working conditions. j. Whether the child's occupation is stressful physically or mentally. k. Frequency with which the child had to work during evenings and night. l. Whether the child had fallen sick or was injured because of work. m. What sickness or injury from work has the child suffered. n. Main items on which the child's earnings were spent. o. The number of hours of free time per day available for recreation.

Cleaning

The sustainable development of Inner Mongolia, particularly the coordinated development of energy, economy, and environment, plays a crucial role in shaping energy strategies and environmental protection policies for both Inner Mongolia and China. Based on this, the study focuses on the energy-economy-environment coupling in Inner Mongolia, employing system dynamics for multi-scenario simulations. The findings reveal: (1) the overall coupling coordination degree is improving, with the energy-environment friendly scenario yielding the best results; (2) industrial pollution and energy consumption are significant factors influencing coupling coordination; (3) addressing energy consumption and achieving carbon neutrality are long-term challenges for Inner Mongolia’s sustainable development. Therefore, Inner Mongolia should optimize its industrial structure, promote high-tech and low-carbon industries, improve energy efficiency, develop renewable energy, and strengthen pollution control and carbon emission management to achieve sustainable development across its economy, energy, and environment.

This chart offers an insightful look at the store count by category in Mongolia. Leading the way is Travel, with 35 stores, which is 15.98% of the total stores in the region. Next is Apparel, contributing 33 stores, or 15.07% of the region's total. Business & Industrial also has a notable presence, with 22 stores, making up 10.05% of the store count in Mongolia. This breakdown provides a clear picture of the diverse retail landscape in Mongolia, showcasing the variety and scale of stores across different categories.

This horizontal bar chart displays revenues ($) by city using the aggregation sum and is filtered where the country is Mongolia. The data is about companies.

In 2023, Inner Mongolia Yili Industrial Group recorded a market capitalization of over 170 billion yuan, ranking the 71st among the leading 500 listed companies in China. There were three other dairy companies on the top 500 ranking list: China Mengniu Dairy, Want Want China, and China Feihe.

In 2020, the diary producer Inner Mongolia Yili Industrial Group was leading the advertising expenditure among all listed companies in China, deploying almost eleven billion yuan. China's largest automobile manufacturer SAIC Motor came to a close second, investing around 10.4 billion yuan in advertising in that year.

This horizontal bar chart displays revenues ($) by employee type using the aggregation sum and is filtered where the country is Mongolia. The data is about companies.