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

Mozambique Population: Maputo City data was reported at 1,273,076.000 Person in 2017. This records an increase from the previous number of 1,257,453.000 Person for 2016. Mozambique Population: Maputo City data is updated yearly, averaging 1,194,121.000 Person from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 1,273,076.000 Person in 2017 and a record low of 1,111,638.000 Person in 2007. Mozambique Population: Maputo City data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Mozambique – Table MZ.G003: Population: by Region.

Mozambique Population: Maputo data was reported at 1,858,597.000 Person in 2017. This records an increase from the previous number of 1,782,380.000 Person for 2016. Mozambique Population: Maputo data is updated yearly, averaging 1,506,442.000 Person from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 1,858,597.000 Person in 2017 and a record low of 1,225,489.000 Person in 2007. Mozambique Population: Maputo data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Mozambique – Table MZ.G003: Population: by Region.

Current and future projected waste generation in the greater Maputo area, by city.

19,37,919 (persons) in 2018.

Maputo was the most populated city in Mozambique as of 2020. Around 1.2 million people lived in the country's capital. Other 675 thousand individuals dwelled in the neighboring Matola, which is part of Maputo's metropolitan area. Overall, Mozambique had a total population of over 30 million people as of the same year.

As of May 2021, 48.12 percent of the population in Maputo, province of Mozambique, lacked access to sufficient food for consumption. The region had the largest prevalence of food insecurity in the country. The situation was also critical in Inhambane, with 42.99 percent of the province's population affected. Overall, Mozambique counted 8.3 million people facing insufficient food consumption in the same period.

人口：马普托在12-01-2017达1,858,597.000人，相较于12-01-2016的1,782,380.000人有所增长。人口：马普托数据按年更新，12-01-2007至12-01-2017期间平均值为1,506,442.000人，共11份观测结果。该数据的历史最高值出现于12-01-2017，达1,858,597.000人，而历史最低值则出现于12-01-2007，为1,225,489.000人。CEIC提供的人口：马普托数据处于定期更新的状态，数据来源于Instituto Nacional De Estatistica，数据归类于Global Database的莫桑比克 – 表 MZ.G003：人口：按地区。

1.178.487 (persons) in 2017.

Sample size (genotypes per locus), number of alleles, allele size range, Write’s fixation index in individuals as compared to subsamples (FIS), expected heterozygosity (Hexp), Nei’s unbiased expected heterozygosity (HS), and observed heterozygosity (HO). *Loci removed from final analyses. (XLSX)

cities administrative division Maputo (province). name, office head of government, Mayor, image, Area, date founded, Elevation, Country, administrative division, continent, latitude, waterbody, longitude, Website, population, Demonym

Dataset resulting from a study on the banking and non-banking agents’ network and their usage in Maputo City and Province in Mozambique. The research project surveyed 498 bank and non-bank agents and 266 users of these financial services. These data provide basic information about the financial services ecosystem in the Maputo region and the role financial agents play in the financial inclusion journey of the population of Mozambique.

Abstract

The objectives of the Smallholder Household Survey in Mozambique were to: • Generate a clear picture of the smallholder sector at the national level, including household demographics, agricultural profile, and poverty status and market relationships; • Segment smallholder households in Mozambique according to the most compelling variables that emerge; • Characterize the demand for financial services in each segment, focusing on customer needs, attitudes and perceptions related to both agricultural and financial services; and, • Detail how the financial needs of each segment are currently met, with both informal and formal services, and where there may be promising opportunities to add value.

Geographic coverage

National coverage

Analysis unit

Households and individual household members

Universe

The universe for the survey consists of smallholder households defined as households with the following criteria: 1) Household with up to 5 hectares OR farmers who have less than 50 heads of cattle, 100 goats/sheep/pigs, or 1,000 chickens; AND 2) Agriculture provides a meaningful contribution to the household livelihood, income, or consumption.

Kind of data

Sample survey data [ssd]

Sampling procedure

The CGAP smallholder household survey in Mozambique is a nationally-representative survey with a target sample size of 3,000 smallholder households. The sample was designed to provide reliable survey estimates at the national level and for the following regions: 1. North region, comprised of the provinces of Niassa, Cabo Delgado, and Nampula; 2. Centre region, comprised of Zambezia, Tete, Maica, and Sofala, Manica; and 3. South region, consisting of Inhambane, Maputo Province, Maputo City and Gaza.

Sampling Frame

The sampling frame for the smallholder household survey is the 2009-2010 Census of Agriculture and Livestock (Censo Agro-Pecuário, CAP II) conducted by the Mozambique National Statistical Office (INE) and based on the 2007 Census of Population and Housing (2007 RGPH). CAP II is a large sample that was designed to be representative at the district level and its sample of enumeration areas (EAs) is considered as the "master sample" for the national agricultural surveys. EAs with less than 15 agricultural households (mostly in urban areas) were excluded from the sampling frame for CAP II.

Sample Allocation and Selection

In order to take non-response into account, the target sample size was increased to 3,158 households assuming a household non-response rate of 5% observed in similar national households. The total sample size was first allocated to the three regions based on the number of agricultural households. Within each region, the resulting sample was further distributed proportionally to urban and rural areas.

The sample for the smallholder survey is a stratified multistage sample. Stratification was achieved by separating urban and rural areas within each region. Since the CAP II master sample that was used as the sampling frame for the survey is stratified by district, rural and urban areas, the rural strata of the individual districts for the CAP II master sample were collapsed up to the province level, and the same for the urban strata within each province. However, the district was still used as a sorting variable in order to provide implicit stratification by district.

At the first sampling stage the CAP II sample EAs were selected systematically with PPS within each district, rural and urban stratum, where the measure of size was the number of agricultural households in the census frame. In general if the EAs are selected with PPS at the first sampling stage, a subsample of EAs would be selected with equal probability within each stratum. However, in the case of the smallholder survey, the district strata were collapsed to the province level (separately for the rural and urban strata). Within each province the weights in CAP II vary by district, rural/urban stratum, by a factor of Mdh/ndh, where Mdh is the total number of agricultural households in the CAP II sampling frame for stratum (rural/urban) h in district d (from the RGPH 2007), and ndh is the number of sample EAs selected for CAP II in stratum h of district d.

Therefore in order to stabilize the weights within the rural and urban stratum of each province for the smallholder survey, the subsample of EAs included in the smallholder sample were selected within each stratum with probability proportional to the measure Mdh/ndh.

A household listing operation was carried out in all selected EAs to identify smallholder households and to provide a frame for the selection of 15 households per selected EA at the third stage. Households were selected in each EA with equal probability. In each selected household, the household questionnaire was administered to the head of the household, the spouse or any knowledgeable adult household member. The multiple respondent questionnaire was administered to all adult members in each selected household. In addition, in each selected household only one household member was selected using the Kish grid and was administered the single respondent questionnaire.

The full description of the sample design can be found in the user guide for this data set.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Building on secondary research on the smallholder sector and discussions with stakeholders, the design process for the survey instrument began. This process involved defining the end goal of the research by: • Drawing from existing survey instruments; • Considering the objectives and needs of the project; • Accounting for stakeholder interests and feedback; • Learning from the ongoing financial diaries in country; and, • Building from a series of focus groups conducted early on in the study.

Using this foundation, a framework for the survey instrument was developed to share with stakeholders and capture all the necessary elements of a smallholder household. The framework consisted of five main subject areas: (i) demographics, (ii) household economics, (iii) agricultural practices, (iv) mobile phones, and (v) financial services.

In order to capture the complexity inside smallholder households, the smallholder household survey was divided into three questionnaires: the Household questionnaire, the Multiple Respondent questionnaire and the Single respondent questionnaire.

The household questionnaire collected information on: • Basic household members’ individual characteristics (age, gender, education attainment, schooling status, relationship with the household head) • Whether each household member contributes to the household income or participates in the household’s agricultural activities. This information was later used to identify all household members eligible for the other two questionnaires.
• Household assets and dwelling characteristics

Both the Multiple and Single Respondent questionnaires collected different information on: • Agricultural practices: farm information such as size, crop types, livestock, decision-making, farming associations and markets • Household economics: employment, income, expenses, shocks, borrowing and saving habits, and investments

In addition, the Single respondent questionnaire collected information on: • Mobile phones: attitudes toward phones, usage, access, ownership, desire and importance • Financial services: attitudes towards financial products and services such as banking and mobile money, including ownership, usage, access and importance.

Before the start of fieldwork, all three questionnaires were pretested in all languages to make sure that the questions were clear and could be understood by respondents. The pretest took place 19 - 24 June 2015 in Maputo, Mozambique and 17 - 20 July 2015 in Ihambane, Nampula and Tete, Mozambique. In total, the pretest covered 79 households. At the end of the pretest, debriefing sessions were held with the pretest field staff and the questionnaires were modified based on the observations from the pretest. Following the finalization of questionnaires, a script was developed to support data collection on smart phones. The script was tested and validated before its use in the field.

Cleaning operations

During data collection, InterMedia received a weekly partial SPSS data file from the field which was analyzed for quality control and used to provide timely feedback to field staff while they were still on the ground. The partial data files were also used to check and validate the structure of the data file. The full data file was also checked for completeness, inconsistencies and errors by InterMedia and corrections were made as necessary and where possible.

Response rate

The user guide includes household and individual response rates for the CGAP smallholder household survey in Mozambique. A total of 3,041 households were selected for the sample, of which 2,782 were found to be occupied during data collection. Of these, 2,574 were successfully interviewed, yielding a household response rate of 92.5 percent.

In the interviewed households 5,502 eligible household members were identified for individual interviews. Completed interviews were conducted for 4,456 yielding a response rate of 81.0 percent for the Multiple Respondent questionnaire.

Among the 2,574 selected for the Single Respondent questionnaire, 2,209 were successfully interviewed corresponding to a response rate of 85.8 percent.

Sampling error estimates

The sample design for the

Suitability criteria and scores.

Abstract

The 2008 MICS aims essentially to do the following: - Provide up-to-date information for assessing the situation of children and women in Mozambique. - Contribute to assessing the Government Five-Year Programme 2005–2009 and the Action Plan for the Reduction of Absolute Poverty 2007–2009 (PARPA II), thus allowing an analysis of progress relative to a series of targets established in the PARPA II monitoring matrix. - Provide the data necessary to monitor progress towards the Millennium Development Goals (MDGs) and the goals of A World Fit for Children, as well as progress towards other internationally agreed targets. - Serve as a fundamental source of information for the Government on the country’s stage of development as it draws up its next five-year programme. - Contribute to the improvement of data and monitoring systems in Mozambique and strengthen specialist technical expertise in the design, implementation and analysis of these systems.

Kind of data

Sample survey data [ssd]

Sampling procedure

The universe defined for this survey included all households living in individual homes in Mozambican territory. It excluded households living in collective homes (barracks, hotels, student residences, etc.), the homeless, and diplomats living in embassies/representations.

The MICS 2008 sample was obtained from the preliminary data and the cartography of the 2007 Census. Selection of the MICS 2008 sample followed a two-stage plan: 1) select the Primary Sampling Units (PSU) or Enumeration Areas (EAs); 2) select households within the sample EAs and, within these, exhaustively select units of analysis (that is, women aged 15–49 and children under five).

Thus, the MICS sample covered 715 PSUs (or EAs) selected systematically, with probability proportional to the size of each urban or rural stratum within each province. In each of the 715 PSUs 20 households were selected, which resulted in a total national sample of 14,300 households. Of the 14,300 households, 6,160 were urban and 8,140 were rural.

The division of the sample by urban and rural stratum within each province is proportional, and the unit of measurement is the number of households in each stratum within each province. The minimum number of households expected in each province was 1,200; exceptions were made for Nampula and Zambézia provinces, with 1,600 households each due to their demographic weight, and Maputo City, with 1,500 households due to the greater variability of its socio-demographic characteristics.

Mode of data collection

Face-to-face [f2f]

Research instrument

To collect data, the methodology of household interviews was adopted, and three types of questionnaire were used: 1) a questionnaire to gather information on all members of the household and the house; 2) one for women aged 15–49; and 3) one for children under five, administered to mothers or caregivers of all children under five living in the household.

The household questionnaire included the following modules: - Sheet to list household members - Education - Water and sanitation - Characteristics of the household - Security of tenure of the house - Mosquito nets and spraying - Child labour - Disability - Orphaned and vulnerable children - Income - Iodized salt.

The questionnaire for women was administered to all women aged 15–49. The questionnaire had the following modules: - Characteristics of the woman interviewed - Matrimonial situation and sexual activity - Child mortality - Maternal and newborn health - Tetanus toxoid - Contraception - Attitudes towards domestic violence - HIV and AIDS.

For the questionnaire for children under five, the mothers or caregivers in each household were identified and interviewed. The questionnaire had the following modules: - Birth registration and early learning - Child development - Vitamin A - Breastfeeding - Care of illness - Malaria - Immunization - Anthropometry.

The three survey questionnaires were based on the MICS3 model questionnaires. Starting with the English version of the MICS3 model, the questionnaires were translated into Portuguese and put into the Mozambican context. Specific themes were added to meet the country’s needs. The pilot survey was held in April 2008 in Maputo City and in Boane district, Maputo province. Based on the results of the pilot survey, modifications were made to the drafting and translation of the questionnaires.

In addition to administering the questionnaires, the fieldwork teams tested the level of iodine in the kitchen salt in use in households and measured the height and weight of all children under five. Details and conclusions from these measurements are presented in the respective sections of the report.

Cleaning operations

Data processing Data processing began in October 2008 and ended in April 2009. Survey processing involved both manual and automatic procedures: receiving and verifying questionnaires, criticism (revision and codification), inputting, editing and analysis of inconsistencies. Data were captured using the interactive software CSPro (Census and Survey Processing System) on 20 microcomputers. Forty data entry operators took part, distributed in two shifts, and a supervisor. To ensure quality control, all the questionnaires were input twice. Throughout the work, procedures and standard programmes developed under the global MICS3 project were used and adapted to the local questionnaire. For cleanness and consistency of data input, the software Stata was used.

Sampling error estimates

Estimate of sampling errors

Since MICS 2008 was a survey by sampling, the results presented in this report are subject to two types of error: sampling errors and non-sampling errors. Non-sampling errors are produced during data collection and processing; sampling errors result from the fact that only a part of the population was interviewed rather than the entire population.

Non-sampling errors include such problems as: failure to question all the women and children selected, errors in formulating the questions and registering the replies, confusion or incapacity of the women in giving information about themselves or their children, and codification or processing errors. Attempts were made to keep this type of error to a minimum by following a series of procedures used in well designed and implemented samples, such as, for example, careful interview design, numerous tests of the questionnaire, intensive training of the interviewers, permanent supervision of the field work, and office review of the questionnaires by the criticism staff. Furthermore, to reduce this type of error, a coverage team was trained to assess the magnitude of such errors, including the coverage of MICS 2008. This team visited all the EAs selected for MICS in all the provinces but the contents or themes were covered by samples.

Appropriate supervision at the stage of data codification and processing, careful cleaning of the archives, feedback to the supervisors, and criticism of the interviewers based on quality control tables also helped minimize errors. The assessment elements available indicate that this type of error was kept within reasonable margins in MICS 2008.

See Appendix C of the Final Report for more detailed information and tables on Estimate of sampling errors.

Distribution of people observed by age group, sex and place of observation (n = 49,404) in evaluation of mask use in public places in the context of COVID-19, 19 to 28 October 2020, Maputo City, Mozambique.