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

Migration in Guaranésia/MG (2017–2022)

Guaranésia/MG had a reference population (aged 5 or over in 2022) of 17,970 people. In the 2017–2022 five-year period, the municipality received 955 in-migrants and lost 1,060 out-migrants to other municipalities in Brazil, resulting in a net migration of −105 people (−5.88 per 1,000 population) and a migration effectiveness index (IEM) of −0.052. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Guaranésia/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants955756 to 1,154good
Out-migrants1,060648 to 1,472use with caution
Net migration−105−563 to 353not classified
Net migration rate, TLM (per 1,000 pop.)−5.88--
Migration effectiveness index (IEM)−0.052--

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 Guaranésia/MG
OriginPeoplePrecision
Guaxupé/MG · view pair in the atlas140low precision
Monte Santo de Minas/MG · view pair in the atlas60low precision
Vicência/PE · view pair in the atlas55low precision
São Paulo/SP · view pair in the atlas55low precision
Juruaia/MG · view pair in the atlas25low precision
Mococa/SP · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Guaranésia/MG
DestinationPeoplePrecision
Guaxupé/MG · view pair in the atlas175low precision
Arceburgo/MG · view pair in the atlas80low precision
Tapiratiba/SP · view pair in the atlas45low precision
Juruaia/MG · view pair in the atlas30low precision
São Pedro da União/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration37539.1%50-99
First move from municipality of birth34035.4%50-99
Return to municipality of birth24525.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education23033.3%20-49
No schooling or incomplete elementary21531.2%20-49
Completed higher education12518.1%20-49
Completed elementary, incomplete high school12017.4%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage33535.1%50-99
1 to 2 minimum wages28529.8%50-99
¼ to ½ minimum wage15516.2%20-49
More than 2 minimum wages808.4%5-19
Up to ¼ of a minimum wage707.3%5-19
Not applicable (collective dwelling)303.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male20521.5%20-49
Ages 40–59, male16517.3%20-49
Ages 25–39, female15015.7%20-49
Ages 15–24, male959.9%5-19
Ages 40–59, female959.9%20-49
Ages 15–24, female858.9%20-49
Ages 5–14, female454.7%5-19
Ages 5–14, male454.7%5-19
Ages 60 and over, male353.7%5-19
Ages 60 and over, female353.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth60056.3%50-99
Multi-step migration27525.8%20-49
Return to municipality of birth19017.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education27039.4%20-49
No schooling or incomplete elementary23033.6%20-49
Completed elementary, incomplete high school13519.7%5-19
Completed higher education507.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage35533.5%20-49
¼ to ½ minimum wage26525.0%20-49
1 to 2 minimum wages26525.0%20-49
More than 2 minimum wages12011.3%5-19
Up to ¼ of a minimum wage555.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female20018.7%20-49
Ages 25–39, male17015.9%20-49
Ages 5–14, male12011.2%5-19
Ages 40–59, male11510.7%5-19
Ages 40–59, female11510.7%5-19
Ages 5–14, female11010.3%5-19
Ages 15–24, female857.9%5-19
Ages 15–24, male656.1%5-19
Other / suppressed454.2%<5
Ages 60 and over, female454.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5,85046.4%>=500
Completed high school, incomplete higher education3,48527.6%>=500
Completed elementary, incomplete high school1,74513.8%100-499
Completed higher education1,54012.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage7,02538.6%>=500
1 to 2 minimum wages5,81031.9%>=500
¼ to ½ minimum wage2,66514.7%100-499
More than 2 minimum wages1,7009.3%100-499
Up to ¼ of a minimum wage7053.9%100-499
Not applicable (collective dwelling)2801.5%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, female2,54515.0%>=500
Ages 40–59, male2,49014.6%>=500
Ages 25–39, male2,06512.1%100-499
Ages 25–39, female2,00511.8%100-499
Ages 60 and over, female1,82010.7%100-499
Ages 60 and over, male1,69510.0%100-499
Ages 15–24, male1,2407.3%100-499
Ages 15–24, female1,1506.8%100-499
Ages 5–14, female1,0055.9%100-499
Ages 5–14, male9855.8%100-499

Commuting (work and study)

Commuting indicators for Guaranésia/MG
Employed persons (aged 10 and over)9,815
Commute out to work in another municipality635
Commute in from another municipality to work here550
Net commuting−85
Out-commuting rate (%)6.48
Commuting attraction index0.974
Median commuting time30 min

Open Guaranésia/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]: Guaranésia/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/guaranesia-mg-3128303/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.