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

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.

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.

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.

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.

Abstract

IHLCA-II is a nationwide quantitative survey of 18660 households with two rounds of data collection (December 2009/January 2010 and May 2010).

IHLCA surveys should support the system of economic statistics that is the basis for modern National Accounts by providing much needed data on value added in household (informal sector) production. IHLCA data will make it possible to estimate the GDP share of private consumption from the use side or alternatively in terms of household production's share of the GDP from the production side.

The main objectives of the survey have been formulated: - To obtain an accurate and holistic assessment of population well-being by measuring a number of indicators related to living conditions from an integrated perspective; - To provide reliable and updated data for identifying different levels of poverty in order to help better focus programmatic interventions and prioritize budget allocations; - To provide quantitative and qualitative data for better understanding the dimensions of wellbeing and poverty in Myanmar and the endogenous and exogenous factors behind the observed patterns and trends in living conditions; - To provide baseline information for monitoring progress towards the achievement of the Millennium Development Goals and other national and international targets; - To develop a rigorous and standardized methodology for establishing a framework for monitoring living conditions and conducting future time-trend analysis.

Given the breadth of information that was to be generated by the survey and the range of stakeholders involved in the project, there were also a number of secondary objectives including: - The compilation of updated statistics for a series of indicators that were also addressed in previous surveys in Myanmar for comparative time-trend analyses on specific aspects of living conditions where appropriate; - The compilation of precise statistics on the spatial distribution of poor and non-poor households for poverty mapping; - For economic and social analysis, improved data for monitoring differentials in living conditions by urban-rural residence, gender and other population sub-groups; - For policy and programmatic formulation, comprehensive data on the population’s perceptions of living conditions, in particular prioritization in terms of their preferences to improve wellbeing and reduce poverty across regions of the country.

The IHLCA-II results have been used to prepare three separate reports: - Poverty Profile - MDG Data Report - Poverty Dynamics Report

In addition two supplementing reports have been prepared: - Technical Report (Survey Design and Implementation) - Quality Report

Sampling procedure

Sampling design

The main focus of the IHLCA-II was to assess the changes in the living conditions of people in Myanmar since IHLCA-I. The national research team considered that the survey design, sampling units and other survey instruments therefore should be as similar as possible to those used in the IHLCA-I.

A stratified multi-stage sample design was used for the IHLCA-I survey with 62 districts as the strata.

Given their special importance, Yangon City and Mandalay City were treated as separate strata. The selection plan in each stratum was as follows. Townships across all districts were used as first stage sampling units (FSU). The sampling frame for the first stage was an official list of townships with their estimated number of households in each district.

The estimated number of households in the excluded 45 townships and from other wards/village tracts represented 5% of the total population.

The second stage sampling unit (SSU) was the ward (urban) or village tract (rural) within the selected townships. The sampling frame for the second stage was the list of wards and villages in the selected townships along with their estimated numbers of households. All wards and village tracts in each selected township within a particular district were grouped into urban/rural substrata. A predetermined number of wards/villages tracts were then drawn with PPES systematic random selection from those township frames.

Listings of Street segments in selected wards (urban) and villages in selected village tracts (rural) with the number of households were made prior to the household survey. Moreover, the survey teams of supervisors drew sketch maps of the street segment inwards and villages prior to the data collection activities and selected the sample households in each community. With the predetermined path in the community on the sketch map and the sampling interval calculated using the total number of household and the fixed sample size, a unique systematic sample could then be drawn conforming to the random selection with a known selection probability.

The IHLCA-II sample design is a modified IHLCA-I sample design which takes into account of changes in the sample frame since 2004 and retains a panel of 50% from IHLCA-I sample of households.

The same sample of areas (street segments and villages) as the IHLCA-I survey areas were kept. There are altogether 1555 areas. Within each area a sample of 12 households was selected. Six households from the 12 IHLCA-I household sample were selected randomly. An additional six households were selected from the “non-IHLCA-I households in the village or street segment. In some (fairly few) cases there were less than six old IHLCA-I households remaining in the village or street segment due to migration and other causes. In that case all remaining IHLCA-I households were included in the sample. If that was the case then the sample of non-IHLCA-I households were increased so the total sample from the village or street segment added up to 12.

The 50 % panel would allow for studies of gross changes (household dynamics) on a sufficiently large sample while at the same time we also make sure that changes in the population are taken into account.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey questionnaires were used for the IHLCA survey11:

The Household questionnaire, administered at household level, included 9 modules covering different aspects of household living conditions: - Module 1: Household Basic Characteristics; - Module 2: Housing; - Module 3: Education; - Module 4: Health; - Module 5: Consumption Expenditures; - Module 6: Household Assets; - Module 7: Labour and Employment; - Module 8: Business - Module 9: Finance and Savings.

The Community questionnaire, administered to local key informants included 4 modules that aimed at providing general information on the village/wards where the survey was being undertaken and at reducing the length of the household interview. The questionnaire was only administered in the first round. Modules included in the Community questionnaire were: - Module 1.1: Village/Ward Infrastructure; - Module 1.2: Population; - Module 1.3: Housing; - Module 1.4: Labour and Employment - Module 1.5: Business Activities; - Module 1.6: Agricultural Activities; - Module 1.7: Finance and Savings; - Module 2: Schools - Module 3: Health facilities - Module 4: Pharmacies and Drug Stores

The Community price questionnaire which aimed at providing information on the prices of specific items in each village/ward surveyed. These prices were collected in case the quality of implicit prices calculated from the household survey was not satisfactory. Since there were no problems with implicit prices, community level prices were not used. The Community price questionnaire comprised of only one module.

The Township Profile questionnaire aimed at collecting administrative information about the Townships included in the survey. It was not used in the data analysis.

All final questionnaires were translated from English to Myanmar.

Depending on the nature of the information to be collected, different types of questions (current status and retrospective) were included in the survey instruments. For instance, current status questions were used to assess Housing condition and level of education and literacy. On the other hand, retrospective questions were also used to collect information on other items including household consumption expenditures. Thus one important issue was the reference period for specific consumption items. In order to minimize recall errors, different reference periods were used for different types of items. In particular, shorter periods were used for smaller items (such as 7days for frequently bought food items and 30 days for less frequently bought food items and non-food items), and longer periods for larger items (such as six months for bulky non-food items and equipment). All above was in line with IHLCA-I.

Cleaning operations

Data editing and coding

Overall editing and coding of the questionnaires received from the field was under the responsibility of the State and Region Level Data Entry Management Committee. The operations involved mainly: - Checking and correcting for inconsistencies in the data; - Identifying and correcting for outliers; - Recoding of variables when necessary.

Data appraisal

First assessment

With regard to potential non-sampling errors, when collecting information from the respondent it was important to plan for several controls: (i) immediately during the interview by the enumerator; (ii) after the interview during the review of the completed questionnaire by the field supervisor and before data entry; and (iii) during data entry. For instance, ranges for data on the monetary value of household expenditures were set, such as minimum and maximum acceptable prices for a given quantity of each major food and non-food item (based on independently obtained data of market prices). The appropriate ranges

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。

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。

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。