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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Mambaí/GO (2017–2022)

Mambaí/GO had a reference population (aged 5 or over in 2022) of 7,400 people. In the 2017–2022 five-year period, the municipality received 705 in-migrants and lost 500 out-migrants to other municipalities in Brazil, resulting in a net migration of +205 people (27.96 per 1,000 population) and a migration effectiveness index (IEM) of 0.172. This classifies the municipality, for the period, as one of migratory attraction. In addition, 25 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Mambaí/GO, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants705506 to 904good
Out-migrants500324 to 676use with caution
Net migration+205−61 to 471not classified
Net migration rate, TLM (per 1,000 pop.)27.96--
Migration effectiveness index (IEM)0.172--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Mambaí/GO
OriginPeoplePrecision
Goiânia/GO · view pair in the atlas70low precision
Brasília/DF · view pair in the atlas65low precision
Posse/GO · view pair in the atlas65low precision
Planaltina/GO · view pair in the atlas45low precision
Damianópolis/GO · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Mambaí/GO
DestinationPeoplePrecision
Alvorada do Norte/GO · view pair in the atlas40low precision
Damianópolis/GO · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth29541.8%50-99
Multi-step migration26036.9%50-99
Return to municipality of birth11516.3%20-49
Other / suppressed355.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education15036.6%20-49
No schooling or incomplete elementary11026.8%20-49
Completed elementary, incomplete high school10024.4%20-49
Completed higher education5012.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage27038.3%50-99
¼ to ½ minimum wage18526.2%20-49
1 to 2 minimum wages13519.1%20-49
Up to ¼ of a minimum wage659.2%5-19
More than 2 minimum wages507.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female14019.7%20-49
Ages 25–39, male13519.0%20-49
Ages 15–24, female8512.0%5-19
Ages 5–14, male8512.0%5-19
Ages 5–14, female7510.6%5-19
Ages 40–59, male557.7%5-19
Ages 15–24, male507.0%5-19
Ages 40–59, female456.3%5-19
Ages 60 and over, male354.9%5-19
Other / suppressed50.7%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth23046.0%20-49
Multi-step migration19539.0%20-49
Return to municipality of birth7515.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education14038.4%5-19
Completed high school, incomplete higher education10027.4%5-19
No schooling or incomplete elementary7520.5%5-19
Completed elementary, incomplete high school5013.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages21042.4%5-19
½ to 1 minimum wage9519.2%5-19
More than 2 minimum wages7014.1%5-19
Up to ¼ of a minimum wage6513.1%5-19
¼ to ½ minimum wage5511.1%5-19
Other / suppressed00.0%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female18537.0%20-49
Ages 25–39, male10020.0%5-19
Other / suppressed6012.0%5-19
Ages 40–59, male459.0%5-19
Ages 5–14, male408.0%5-19
Ages 5–14, female357.0%5-19
Ages 15–24, female357.0%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,32052.7%100-499
Completed high school, incomplete higher education1,14025.9%100-499
Completed elementary, incomplete high school58513.3%100-499
Completed higher education3558.1%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,04541.3%>=500
¼ to ½ minimum wage1,97526.8%100-499
1 to 2 minimum wages1,26017.1%100-499
Up to ¼ of a minimum wage73510.0%100-499
More than 2 minimum wages3654.9%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male94514.2%100-499
Ages 25–39, male89513.4%100-499
Ages 40–59, female89513.4%100-499
Ages 25–39, female83512.5%100-499
Ages 15–24, male5908.9%100-499
Ages 5–14, male5808.7%100-499
Ages 15–24, female5458.2%100-499
Ages 5–14, female5458.2%100-499
Ages 60 and over, male4206.3%50-99
Ages 60 and over, female4106.2%50-99

Commuting (work and study)

Commuting indicators for Mambaí/GO
Employed persons (aged 10 and over)3,205
Commute out to work in another municipality640
Commute in from another municipality to work here320
Net commuting−320
Out-commuting rate (%)20.02
Commuting attraction index0.881
Median commuting time90 min

Open Mambaí/GO in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Mambaí/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mambai-go-5212709/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.