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

Migration in São João da Ponte/MG (2017–2022)

São João da Ponte/MG had a reference population (aged 5 or over in 2022) of 22,390 people. In the 2017–2022 five-year period, the municipality received 1,045 in-migrants and lost 1,440 out-migrants to other municipalities in Brazil, resulting in a net migration of −395 people (−17.68 per 1,000 population) and a migration effectiveness index (IEM) of −0.159. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for São João da Ponte/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,045765 to 1,325good
Out-migrants1,4401,072 to 1,808good
Net migration−395−857 to 67not classified
Net migration rate, TLM (per 1,000 pop.)−17.68--
Migration effectiveness index (IEM)−0.159--

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

Top origins and destinations

Top 10 origins of in-migrants to São João da Ponte/MG
OriginPeoplePrecision
Montes Claros/MG · view pair in the atlas220low precision
São Paulo/SP · view pair in the atlas110low precision
Belo Horizonte/MG · view pair in the atlas90low precision
Piracicaba/SP · view pair in the atlas45low precision
Varzelândia/MG · view pair in the atlas35low precision
Top 10 destinations of out-migrants from São João da Ponte/MG
DestinationPeoplePrecision
Montes Claros/MG · view pair in the atlas530use with caution
Iraí de Minas/MG · view pair in the atlas40low precision
Varzelândia/MG · view pair in the atlas30low precision
Patis/MG · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth48045.9%50-99
First move from municipality of birth32030.6%20-49
Multi-step migration23522.5%20-49
Other / suppressed101.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary25539.2%20-49
Completed high school, incomplete higher education22534.6%20-49
Completed higher education14522.3%5-19
Other / suppressed253.8%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages30529.0%20-49
¼ to ½ minimum wage28026.7%20-49
½ to 1 minimum wage24523.3%20-49
Up to ¼ of a minimum wage17516.7%20-49
Other / suppressed454.3%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female21520.6%20-49
Ages 25–39, male13012.4%5-19
Ages 5–14, female12512.0%5-19
Ages 40–59, male1009.6%5-19
Ages 15–24, male1009.6%5-19
Ages 5–14, male1009.6%5-19
Ages 40–59, female959.1%5-19
Ages 60 and over, female757.2%5-19
Ages 15–24, female656.2%5-19
Other / suppressed403.8%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth99569.1%100-499
Multi-step migration26018.1%20-49
Return to municipality of birth18512.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary38550.0%50-99
Completed high school, incomplete higher education22529.2%20-49
Completed elementary, incomplete high school11014.3%5-19
Completed higher education506.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage55038.2%50-99
¼ to ½ minimum wage36525.3%50-99
1 to 2 minimum wages28019.4%20-49
Up to ¼ of a minimum wage17011.8%20-49
More than 2 minimum wages654.5%5-19
Other / suppressed100.7%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female31021.5%20-49
Ages 25–39, female23016.0%20-49
Ages 25–39, male18512.8%20-49
Ages 15–24, male15010.4%5-19
Ages 40–59, male1258.7%5-19
Ages 5–14, male1107.6%5-19
Ages 40–59, female1057.3%5-19
Ages 5–14, female1006.9%5-19
Ages 60 and over, male704.9%5-19
Ages 60 and over, female553.8%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10,01067.0%>=500
Completed high school, incomplete higher education2,61017.5%100-499
Completed elementary, incomplete high school1,4259.5%100-499
Completed higher education9056.1%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage7,92034.6%>=500
¼ to ½ minimum wage6,75029.5%>=500
Up to ¼ of a minimum wage4,93521.6%>=500
1 to 2 minimum wages2,47510.8%100-499
More than 2 minimum wages7103.1%50-99
Not applicable (collective dwelling)750.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male3,12514.7%100-499
Ages 40–59, female2,82513.3%100-499
Ages 25–39, male2,51011.8%100-499
Ages 25–39, female2,37011.1%100-499
Ages 60 and over, female2,0859.8%100-499
Ages 60 and over, male2,0309.5%100-499
Ages 15–24, male1,8158.5%100-499
Ages 15–24, female1,6257.6%100-499
Ages 5–14, male1,5607.3%100-499
Ages 5–14, female1,3756.4%100-499

Commuting (work and study)

Commuting indicators for São João da Ponte/MG
Employed persons (aged 10 and over)8,470
Commute out to work in another municipality1,265
Commute in from another municipality to work here230
Net commuting−1,035
Out-commuting rate (%)14.95
Commuting attraction index0.872
Median commuting time35 min

Open São João da Ponte/MG 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]: São João da Ponte/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-joao-da-ponte-mg-3162401/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.