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Chart and table of population level and growth rate for the Mandalay, Myanmar metro area from 1950 to 2025.
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Myanmar Mobile Phone User: per 100 Population: Mandalay Region data was reported at 123.000 Number in 2018. This records an increase from the previous number of 117.000 Number for 2017. Myanmar Mobile Phone User: per 100 Population: Mandalay Region data is updated yearly, averaging 120.000 Number from Mar 2017 (Median) to 2018, with 2 observations. The data reached an all-time high of 123.000 Number in 2018 and a record low of 117.000 Number in 2017. Myanmar Mobile Phone User: per 100 Population: Mandalay Region data remains active status in CEIC and is reported by Central Statistical Organization. The data is categorized under Global Database’s Myanmar – Table MM.TB002: Mobile Phone User: By State and Region.
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Historical dataset of population level and growth rate for the Mandalay, Myanmar metro area from 1950 to 2025.
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Myanmar Population: Estimate: Male: Mandalay Division data was reported at 3,349.765 Person th in 2031. This records an increase from the previous number of 3,328.694 Person th for 2030. Myanmar Population: Estimate: Male: Mandalay Division data is updated yearly, averaging 3,154.750 Person th from Sep 2014 (Median) to 2031, with 18 observations. The data reached an all-time high of 3,349.765 Person th in 2031 and a record low of 2,953.871 Person th in 2014. Myanmar Population: Estimate: Male: Mandalay Division data remains active status in CEIC and is reported by Central Statistical Organization. The data is categorized under Global Database’s Myanmar – Table MM.G003: Population Estimation: 2014 Population Census: By State.
This report is one of the 15 State and Region specific reports of the Census Volume 3 publications.This report contains the main results for Mandalay Region.The 2014 MPHC results are being released in three phases comprising several publications. Phase one was the publishing and launch of the provisional results (Census Volume 1) in August 2014. Phase two is the publishing and launch of the main results in May 2015, comprising two series of publications: Census Volume 2, which contains detailed information at the Union and State/Region levels, and Census Volume 3, which includes a report for each of the 15 States and Regions in Myanmar. The publication of main census results that require manual coding and further consultations is planned for early 2016. Phase three of the publications will be the thematic analysis reports on the numerous themes covered in the census.
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Myanmar Population: Estimate: Mandalay Division data was reported at 7,170.970 Person th in 2031. This records an increase from the previous number of 7,122.580 Person th for 2030. Myanmar Population: Estimate: Mandalay Division data is updated yearly, averaging 6,713.962 Person th from Sep 2014 (Median) to 2031, with 18 observations. The data reached an all-time high of 7,170.970 Person th in 2031 and a record low of 6,218.157 Person th in 2014. Myanmar Population: Estimate: Mandalay Division data remains active status in CEIC and is reported by Central Statistical Organization. The data is categorized under Global Database’s Myanmar – Table MM.G003: Population Estimation: 2014 Population Census: By State.
This report summarises provisional results of Myanmar’s 2014 population and housing census. (Main census results released in May 2015.) The provisional results provide the total population by sex and administrative unit, from national, state/region, district down to township level. It also shows the population sizes of Yangon, Mandalay and Nay Pyi Taw cities, as well as the state/region capitals. Other indicators included are sex ratio and population density.
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Myanmar Fixed Broadband Internet Subscriber: per 100 Population: Mandalay Region data was reported at 0.200 Number in 2018. This records a decrease from the previous number of 0.250 Number for 2017. Myanmar Fixed Broadband Internet Subscriber: per 100 Population: Mandalay Region data is updated yearly, averaging 0.225 Number from Mar 2017 (Median) to 2018, with 2 observations. The data reached an all-time high of 0.250 Number in 2017 and a record low of 0.200 Number in 2018. Myanmar Fixed Broadband Internet Subscriber: per 100 Population: Mandalay Region data remains active status in CEIC and is reported by Central Statistical Organization. The data is categorized under Global Database’s Myanmar – Table MM.TB003: Fixed Broadband Internet Subscriber: By State and Region.
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缅甸 Mobile Phone User: per 100 Population: Mandalay Region在2018达123.000 数值,相较于2017的117.000 数值有所增长。缅甸 Mobile Phone User: per 100 Population: Mandalay Region数据按每年更新,2017至2018期间平均值为120.000 数值,共2份观测结果。该数据的历史最高值出现于2018,达123.000 数值,而历史最低值则出现于2017,为117.000 数值。CEIC提供的缅甸 Mobile Phone User: per 100 Population: Mandalay Region数据处于定期更新的状态,数据来源于Central Statistical Organization,数据归类于Global Database的缅甸 – Table MM.TB002: Mobile Phone User: By State and Region。
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The Myanmar residential real estate market, valued at $1.38 billion in 2025, is projected to experience robust growth, driven by a burgeoning population, increasing urbanization, and a rising middle class with greater disposable income. The compound annual growth rate (CAGR) of 8.63% from 2025 to 2033 indicates a significant expansion of this market over the forecast period. Key segments driving this growth include condominiums/apartments, particularly in major cities like Yangon and Mandalay, reflecting a shift towards high-density living. The demand for villas and landed houses remains strong, especially in established neighborhoods and suburban areas. While the market faces challenges such as infrastructure limitations in some regions and fluctuating economic conditions, the long-term outlook remains positive due to continued government investment in infrastructure development and increasing foreign investment in the real estate sector. Major players like Keppel Land, Capital Development Limited, and Yoma Strategic Holdings are contributing to the market's development by offering diverse housing options. The market's performance will likely be influenced by factors such as government policies, economic stability, and infrastructural improvements. Demand for sustainable and technologically advanced housing solutions is also anticipated to increase. The substantial growth in the Myanmar residential real estate market is expected to continue throughout the forecast period (2025-2033). This growth is largely fueled by the strong demand for affordable housing, driven by population growth and the expansion of the middle class. However, the market's trajectory is not without its challenges. These include potential regulatory hurdles, access to financing, and the need to enhance overall infrastructure, particularly in developing regions beyond Yangon and Mandalay. Furthermore, the market’s response to global economic shifts will be crucial in determining its overall performance. Despite these potential headwinds, the sustained inflow of both domestic and international investment suggests a positive trajectory for the sector, highlighting attractive opportunities for developers and investors alike. Strategic partnerships between local and international firms are likely to become more prominent as the market expands further. Recent developments include: June 2023: UNDP, UN Women, and UN-Habitat yesterday brought together representatives from local communities, NGOs, development partners, and the private sector to discuss research on urban poverty and the innovative strategies used in a new project building resilience in low-income urban communities. It aims to strengthen residents’ resilience by supporting community-led groups to improve essential services and facilities, upgrade the physical environment of informal settlements, address gender-based violence, and promote livelihoods, skills, and job creation., February 2023: The Myanmar National Unity Government (NUG) housing project, Spring Bliss, reached preorders of more than 6,500 apartments within a day. The shadow government seeks to raise funds for the ongoing revolution against the military regime by selling or auctioning off military-owned property. The Spring Bliss houses will be built on land illegally seized by the military in Yangon’s Hlaing Tharyar, South Dagon, and Mingaladon townships., January 2022: A 10,000-room public rental housing project was underway in Dhakhinathiri Township of Nay Pyi Taw Council Area, Dagon Myothit (South) Township of Yangon Region and Patheingyi Township of Mandalay Region. Phase 1 of the project is on 171 acres of a land plot in Dagon Myothit (South) Township of Yangon Region, was 48% completed. Phase 1 by the Myanmar Construction Entrepreneurs Federation and Myanmar Licensed Contractors Association includes 194 building units for 3,104 rooms.. Key drivers for this market are: 4., The growing concept of integrated living4.; Increasing the construction of residential spaces such as single-family homes, condos, cooperatives, duplexes, townhouses, and multifamily residences in the country.. Potential restraints include: 4., Regulatory uncertainty. Notable trends are: Growth of Urbanization Driving the Market.
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缅甸 Fixed Broadband Internet Subscriber: per 100 Population: Mandalay Region在2018达0.200 数值,相较于2017的0.250 数值有所下降。缅甸 Fixed Broadband Internet Subscriber: per 100 Population: Mandalay Region数据按每年更新,2017至2018期间平均值为0.225 数值,共2份观测结果。该数据的历史最高值出现于2017,达0.250 数值,而历史最低值则出现于2018,为0.200 数值。CEIC提供的缅甸 Fixed Broadband Internet Subscriber: per 100 Population: Mandalay Region数据处于定期更新的状态,数据来源于Central Statistical Organization,数据归类于Global Database的缅甸 – Table MM.TB003: Fixed Broadband Internet Subscriber: By State and Region。
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Survey questions about incidence and outcome.
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UNOSAT code: FL20190715MMR This map illustrates the cumulative satellite detected surface waters in Mandalay and Saigang States, Myanmar by using a Sentinel-1 images acquired on 16 and 18 July 2019. Over an area of about 450km2 of lands appear to be likely flooded. By using the population data from Worldpop, total of about 185,000 people appear to have been affected by floods as of 18 July 2019. This is preliminary analysis that has not yet been validated in the field. Please send your comments to UNITAR-UNOSAT.
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Places around the village/house where snakebites occur more often.
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Activities most associated with people getting bitten.
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人口:估计:男性:曼德勒省在09-01-2031达3,349.765千人,相较于09-01-2030的3,328.694千人有所增长。人口:估计:男性:曼德勒省数据按年更新,09-01-2014至09-01-2031期间平均值为3,154.750千人,共18份观测结果。该数据的历史最高值出现于09-01-2031,达3,349.765千人,而历史最低值则出现于09-01-2014,为2,953.871千人。CEIC提供的人口:估计:男性:曼德勒省数据处于定期更新的状态,数据来源于Central Statistical Organization,数据归类于全球数据库的缅甸 – 表 MM.G003:人口估计:2014年人口普查:按州划分。
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On 28 March 2025, a powerful earthquake of magnitude 7.7, striking at a depth of 10 km, hit central Myanmar at around 12.50 local time. The tremor caused devastating losses, significantly impacting human life, infrastructure, and agricultural livelihoods in several townships in Mandalay and Sagaing states/regions. The Data in Emergencies (DIEM) team at the Food and Agriculture Organization of the United Nations (FAO) examined satellite images immediately following the earthquake to understand the impact. This StoryMap provides a rapid assessment of the potential impact of the earthquake on agriculture and livelihoods in Myanmar.Key highlightsAccording to preliminary analyses, the exposed population to the earthquake in Myanmar is over 9 million people (over VI earthquake intensity classes).The most exposed population was in Mandalay (4.6 million people), Sagaing (2.7 million people) and Magway (866 777 people) states/regions. Mandalay, Shwebo, Pyinoolwin, Meiktila, Pakokku, Monywa and Myingyan were the most exposed districts. Over 3.7 million ha of cropland were exposed to the earthquake. The most potentially affected states/regions in terms of exposed cropland in hectares were Sagaing (1.5 million ha), Mandalay (1.4 million ha), Shan (431 000 ha) and Magway (389 000 ha). The most potentially affected cropland areas, in which more than 80 000 ha of cropland was exposed, were found in Kanbalu, Wetlet, Nawnghkio, Wundwin, Natogyi, Tabayin, Khin-U, Shwebo, Budalin, Myaing and Sagaing townships. Based on the analyses, Shwebo, Kyaukse, Pakokku, Sagaing and Myingyan were the most potentially affected townships in terms of oilseed exposure. Pakokku, Mahaaungmyay, Pale, Pyinoolwin, Singu, Sagaing, Patheingyi, Myittha, Kyaukse, Yesagyo and Madaya are the most potentially affected townships in terms of rice exposure. The areal coverage of oilseed and rice in these townships account for 65 percent of the total area covered by those crops in Mandalay, Magway and Sagaing regions. The earthquake occurred in a high livestock density area. Based on the findings, over 3.6 million cattle were exposed to the earthquake in Myanmar. Madaya, Sintgaing, Ngazun, Myittha, Kyaukse, Sagaing, Ayadaw, Patheingyi, Singu, Shwebo, Yesagyo and Wundwin were the most potentially affected townships in terms of the number of cattle exposed to the earthquake.
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人口:估计:曼德勒省在09-01-2031达7,170.970千人,相较于09-01-2030的7,122.580千人有所增长。人口:估计:曼德勒省数据按年更新,09-01-2014至09-01-2031期间平均值为6,713.962千人,共18份观测结果。该数据的历史最高值出现于09-01-2031,达7,170.970千人,而历史最低值则出现于09-01-2014,为6,218.157千人。CEIC提供的人口:估计:曼德勒省数据处于定期更新的状态,数据来源于Central Statistical Organization,数据归类于全球数据库的缅甸 – 表 MM.G003:人口估计:2014年人口普查:按州划分。
Myanmar MICS 2009-2010 was conducted by the Planning Department, Department of Health Planning and the Department of Health. Its main objectives are to provide updated information for assessing the situation of children and women in Myanmar; to furnish data needed for monitoring progress towards the Millennium Development Goals and other internationally agreed goals; and to contribute to the improvement of data collection and monitoring systems in Myanmar.
Myanmar MICS 2009-2010 is a nationally representative survey designed to provide estimates at national level, for urban and rural areas and for each of the 17 states and divisions. Data collection was mainly undertaken between October 2009 and March 2010, although data were collected from four clusters already in June 2009. A sample of 29,250 households was selected, of which 29,238 households were successfully interviewed. Data were collected for indicators at household level, as well as for 38,081 individual women aged 15 to 49, and 15,539 children under five. Data are disaggregated by gender, area of residence, education level and wealth quintile.
It is notable that most indicators do not show any significant differences between male and female children. Urban areas show better outcomes than rural areas on most indicators. There is wide variation among states and divisions, with Rakhine, Chin and Shan (North) States showing lower coverage than other states and divisions on most indicators. Disparities according to wealth level are also visible on most indicators.
National
The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household.
Sample survey data [ssd]
The primary objective of the sample design for the Myanmar Multiple Indicator Cluster Survey was to produce statistically reliable estimates of most indicators, at the national level, for urban and rural areas, and for the 17 states and divisions of the country: Kachin, Kayah, Kayin, Chin, Mon, Rakhine, Shan (North), Shan (East), Shan (South), Ayeyarwaddy, Bago (East), Bago (West), Magwe, Mandalay, Sagaing, Tanintharyi, and Yangon.
Although aiming to produce data for the national level, 10 townships in Ayeyarwaddy Division and four townships in Yangon Division affected by Cyclone Nargis in 2008 were excluded from the sampling frame. Moreover, five townships in Shan (North) State were removed from the sampling frame due to security concerns. Urban and rural areas in each state/division were defined as the sampling domains. A multi-stage, stratified probability proportional to size (PPS) cluster sampling design was adopted for the selection of the survey sample.
The target sample size for the Myanmar MICS was calculated as 29,250 households.
The resulting number of households from this exercise was 29,250 households. The average cluster size in the Myanmar MICS was determined as 30 households, based on a number of considerations, including the budget available, and the time that would be needed per team to complete one cluster. Dividing the total number of households by the number of households per cluster, it was calculated that the selection of a total number of 975 clusters would be needed for the Myanmar MICS.
A compromise allocation procedure was adopted for allocation of 975 clusters to the 17 states and divisions. In each state/division, the clusters (primary sampling units) were distributed to urban and rural domains, proportional to the size of urban and rural populations in that state/division.
The 2006 updated list of villages from the Population Department, Ministry of Population and Immigration was used as the sampling frame for the selection of clusters. In urban areas wards were defined as primary sampling units (PSUs), and in rural areas village tracts were defined as PSUs. Before sampling, wards and village tracts of 19 townships in Ayeyarwaddy, Yangon and Shan (North) were removed from the sampling frame. PSUs were selected from each of the sampling domains by using systematic PPS (probability proportional to size) sampling procedures. Within each village tract, one village was selected by simple random sampling.
During the fieldwork period 40 of the selected enumeration areas were not visited because they were considered inaccessible due to security concerns. These were replaced with other clusters of similar size. Substitution of selected clusters is, however, not a recommended MICS procedure. According to MICS standard protocol when sampled enumeration areas are not accessible, they should be abandoned without selecting replacement clusters. This is because the replacement clusters will not have been selected with the same probability of selection as the other clusters. The situation in these geographical areas might also systematically differ from the areas which were not possible to visit, which could introduce bias in the data.
Since the sampling frame (the 2006 list of villages from the Population Department) was not up to date, the number of households in all selected clusters was updated in consultation with local village/ward authorities prior to the selection of households. For this purpose, survey teams visited each enumeration area and listed the occupied households one day ahead of field data collection. Survey teams were required to either obtain a map from the local authorities, or draw a map themselves, detailing all dwellings in the enumeration area. The map was then divided into segments of around 15 households. Two segments were selected at random by the field team, to make up a cluster of 30 households.
The sampling procedures are fully described in "Myanmar Multiple Indicator Cluster Survey 2009-2010 - Final Report" pp.124-126.
Face-to-face [f2f]
The questionnaires for the Myanmar MICS were structured questionnaires based on the MICS3 Model Questionnaire with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. The household questionnaire includes household listing, education, and water and sanitation.
In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. For children, the questionnaire was administered to the mother or caretaker of the child.
The women's questionnaire includes child mortality, tetanus toxoid, maternal and newborn health, contraception, HIV knowledge.
The children's questionnaire includes birth registration and early learning, vitamin A, care of illness, immunisation and anthropometry.
The questionnaires are based on the MICS3 model questionnaire. From the MICS3 model English version, the questionnaires were translated into Myanmar and were pre-tested in Pyan-ka-pyae Village in Pyinmana Township, Mandalay Division during May 2009. Based on the results of the pretest, modifications were made to the wording and translation of the questionnaires. Questionnaires were not translated into any of the other languages spoken in Myanmar. In addition to the administration of questionnaires, fieldwork teams measured the weights and heights of children under five.
Completed questionnaires from each state/division were sent back to three assigned data entry centres in Yangon, Mandalay and Nay Pyi Taw, where data entry was done for five to seven states or divisions in each centre. A total of 30 data entry operators and six data entry supervisors were involved in entering the data, and 11 microcomputers were used in each centre. Data were entered using the CSPro software. In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS3 project and adapted to the Myanmar questionnaire were used throughout. Data entry started in December 2009 and concluded in April 20104. Final consistency checks were then performed using the Statistical Package for Social Sciences (SPSS) Version 18 software programme.
Data were analysed using SPSS Version 18 and the model syntax and tabulation plans developed by UNICEF for this purpose, with adaptations to the Myanmar questionnaire.
Of the 29,250 households selected for the sample, all households were found to be occupied. Of these, 29,238 were successfully interviewed for a household response rate of 100 percent. In the interviewed households, 39,025 women aged 15-49 were identified. Of these, 38,081 were successfully interviewed, yielding a response rate of 97.6 percent. In addition, 15,574 children under five were listed in the household questionnaire. Questionnaires were completed for 15,539 of these children, which corresponds to a response rate of 99.8 percent. Overall response rates of 97.5 and 99.7 are calculated for the women’s and under-five’s interviews respectively.
Since the household response rate was 100 percent, no difference could be seen between urban and rural areas or across the 17 states and divisions of the country. Women’s overall response rate is slightly lower than children’s overall response rate because some women were not available in their home at the time of interview. Kachin State has the lowest women’s response rate (89.5 percent), followed by Bago (East) Division (94.1 percent), Mandalay and
Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
The data cover the following sub-national areas: Yangon, Rakhine, Shan (North), Kayin, Kachin, Shan (South), Mon, Tanintharyi, Mandalay, Kayah, Shan (East), Chin, Magway, Sagaing, Market Average
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Chart and table of population level and growth rate for the Mandalay, Myanmar metro area from 1950 to 2025.