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

Migration in Lassance/MG (2017–2022)

Lassance/MG had a reference population (aged 5 or over in 2022) of 6,665 people. In the 2017–2022 five-year period, the municipality received 510 in-migrants and lost 415 out-migrants to other municipalities in Brazil, resulting in a net migration of +95 people (14.23 per 1,000 population) and a migration effectiveness index (IEM) of 0.102. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Lassance/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants510384 to 636good
Out-migrants415202 to 628use with caution
Net migration+95−153 to 343not classified
Net migration rate, TLM (per 1,000 pop.)14.23--
Migration effectiveness index (IEM)0.102--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Lassance/MG
OriginPeoplePrecision
Belo Horizonte/MG · view pair in the atlas105use with caution
Várzea da Palma/MG · view pair in the atlas95low precision
Corinto/MG · view pair in the atlas40low precision
Contagem/MG · view pair in the atlas30low precision
Três Marias/MG · view pair in the atlas15low precision
Sete Lagoas/MG · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Lassance/MG
DestinationPeoplePrecision
Várzea da Palma/MG · view pair in the atlas100low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth20038.8%50-99
Multi-step migration19036.9%50-99
Return to municipality of birth12524.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education13539.1%20-49
No schooling or incomplete elementary10029.0%20-49
Completed elementary, incomplete high school7521.7%20-49
Completed higher education3510.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage13526.5%20-49
1 to 2 minimum wages13526.5%20-49
¼ to ½ minimum wage11522.5%20-49
Up to ¼ of a minimum wage8516.7%20-49
More than 2 minimum wages407.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male8516.8%20-49
Ages 25–39, male8015.8%20-49
Ages 40–59, female7514.9%20-49
Ages 25–39, female7013.9%20-49
Ages 15–24, female5510.9%5-19
Ages 5–14, female407.9%5-19
Ages 15–24, male356.9%5-19
Ages 5–14, male305.9%5-19
Ages 60 and over, male255.0%5-19
Other / suppressed102.0%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth20549.4%20-49
Multi-step migration17542.2%5-19
Other / suppressed358.4%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education9042.9%5-19
No schooling or incomplete elementary8540.5%5-19
Other / suppressed3516.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage27566.3%20-49
Other / suppressed7518.1%5-19
¼ to ½ minimum wage6515.7%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed8019.3%5-19
Ages 25–39, female7016.9%5-19
Ages 15–24, female6014.5%5-19
Ages 15–24, male6014.5%5-19
Ages 5–14, female5513.3%5-19
Ages 25–39, male5513.3%5-19
Ages 5–14, male358.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,32054.0%>=500
Completed high school, incomplete higher education1,17527.4%100-499
Completed elementary, incomplete high school49011.4%100-499
Completed higher education3107.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,69540.7%>=500
¼ to ½ minimum wage1,67025.2%>=500
1 to 2 minimum wages1,27519.3%100-499
Up to ¼ of a minimum wage72511.0%100-499
More than 2 minimum wages2403.6%50-99
Other / suppressed150.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female83013.5%100-499
Ages 40–59, male81013.2%100-499
Ages 25–39, male68511.1%100-499
Ages 25–39, female67511.0%100-499
Ages 60 and over, male65510.7%100-499
Ages 60 and over, female64010.4%100-499
Ages 15–24, male5308.6%100-499
Ages 15–24, female4908.0%100-499
Ages 5–14, male4256.9%100-499
Ages 5–14, female4056.6%100-499

Commuting (work and study)

Commuting indicators for Lassance/MG
Employed persons (aged 10 and over)2,985
Commute out to work in another municipality60
Commute in from another municipality to work here270
Net commuting+210
Out-commuting rate (%)2.04
Commuting attraction index1.049
Median commuting time60 min

Open Lassance/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]: Lassance/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/lassance-mg-3138104/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.