Migration in São Lourenço/MG (2017–2022)

São Lourenço/MG had a reference population (aged 5 or over in 2022) of 42,535 people. In the 2017–2022 five-year period, the municipality received 4,005 in-migrants and lost 2,620 out-migrants to other municipalities in Brazil, resulting in a net migration of +1,390 people (32.66 per 1,000 population) and a migration effectiveness index (IEM) of 0.210. This classifies the municipality, for the period, as one of migratory attraction. In addition, 35 arrived with an unreported origin and 115 came from abroad.

Indicators

Migration indicators for São Lourenço/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	4,005	3,349 to 4,661	good
Out-migrants	2,620	2,112 to 3,128	good
Net migration	+1,390	560 to 2,220	not classified
Net migration rate, TLM (per 1,000 pop.)	32.66	-	-
Migration effectiveness index (IEM)	0.210	-	-

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 Lourenço/MG
Origin	People	Precision
Rio de Janeiro/RJ · view pair in the atlas	505	use with caution
São Paulo/SP · view pair in the atlas	315	use with caution
Carmo de Minas/MG · view pair in the atlas	305	low precision
Belo Horizonte/MG · view pair in the atlas	160	low precision
São José dos Campos/SP · view pair in the atlas	140	low precision
Juiz de Fora/MG · view pair in the atlas	120	low precision
Soledade de Minas/MG · view pair in the atlas	120	use with caution
Pouso Alegre/MG · view pair in the atlas	95	low precision
Taubaté/SP · view pair in the atlas	75	low precision
Caxambu/MG · view pair in the atlas	70	low precision

Top 10 destinations of out-migrants from São Lourenço/MG
Destination	People	Precision
Carmo de Minas/MG · view pair in the atlas	305	use with caution
Soledade de Minas/MG · view pair in the atlas	190	use with caution
Poços de Caldas/MG · view pair in the atlas	120	low precision
Dom Viçoso/MG · view pair in the atlas	85	use with caution
Três Corações/MG · view pair in the atlas	80	low precision
Taubaté/SP · view pair in the atlas	70	low precision
Caxambu/MG · view pair in the atlas	70	low precision
Itajubá/MG · view pair in the atlas	70	low precision
Pouso Alto/MG · view pair in the atlas	70	low precision
Varginha/MG · view pair in the atlas	55	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	1,730	43.2%	100-499
Multi-step migration	1,385	34.6%	100-499
Return to municipality of birth	870	21.7%	50-99
Other / suppressed	20	0.5%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	1,175	41.2%	100-499
Completed high school, incomplete higher education	880	30.8%	50-99
Completed elementary, incomplete high school	415	14.5%	20-49
No schooling or incomplete elementary	385	13.5%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	1,235	30.8%	100-499
1 to 2 minimum wages	1,100	27.5%	100-499
½ to 1 minimum wage	945	23.6%	50-99
¼ to ½ minimum wage	335	8.4%	20-49
Up to ¼ of a minimum wage	225	5.6%	20-49
Not applicable (collective dwelling)	165	4.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	745	18.6%	50-99
Ages 25–39, female	690	17.2%	50-99
Ages 40–59, female	475	11.8%	20-49
Ages 40–59, male	390	9.7%	20-49
Ages 60 and over, female	375	9.4%	20-49
Ages 5–14, male	345	8.6%	20-49
Ages 15–24, female	345	8.6%	20-49
Ages 15–24, male	285	7.1%	20-49
Ages 60 and over, male	185	4.6%	5-19
Ages 5–14, female	175	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	1,210	46.3%	100-499
Multi-step migration	1,020	39.0%	100-499
Return to municipality of birth	370	14.1%	50-99
Other / suppressed	15	0.6%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	660	38.7%	50-99
Completed higher education	535	31.4%	50-99
No schooling or incomplete elementary	275	16.1%	50-99
Completed elementary, incomplete high school	235	13.8%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	690	26.3%	100-499
1 to 2 minimum wages	580	22.1%	50-99
More than 2 minimum wages	570	21.8%	50-99
¼ to ½ minimum wage	385	14.7%	50-99
Up to ¼ of a minimum wage	320	12.2%	20-49
Not applicable (collective dwelling)	75	2.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	445	17.0%	50-99
Ages 15–24, female	430	16.4%	20-49
Ages 25–39, male	425	16.2%	50-99
Ages 40–59, female	280	10.7%	20-49
Ages 60 and over, female	220	8.4%	20-49
Ages 40–59, male	205	7.8%	20-49
Ages 5–14, female	205	7.8%	20-49
Ages 15–24, male	150	5.7%	20-49
Ages 60 and over, male	135	5.1%	20-49
Ages 5–14, male	130	5.0%	20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	9,155	31.8%	>=500
Completed high school, incomplete higher education	8,685	30.1%	>=500
Completed higher education	6,630	23.0%	>=500
Completed elementary, incomplete high school	4,350	15.1%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	12,440	30.6%	>=500
1 to 2 minimum wages	11,760	28.9%	>=500
More than 2 minimum wages	7,210	17.7%	>=500
¼ to ½ minimum wage	6,650	16.4%	>=500
Up to ¼ of a minimum wage	2,300	5.7%	100-499
Not applicable (collective dwelling)	280	0.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	6,165	16.1%	>=500
Ages 40–59, male	5,525	14.4%	>=500
Ages 60 and over, female	5,180	13.5%	>=500
Ages 25–39, female	4,145	10.8%	100-499
Ages 25–39, male	3,970	10.3%	100-499
Ages 60 and over, male	3,835	10.0%	100-499
Ages 15–24, male	2,565	6.7%	100-499
Ages 15–24, female	2,460	6.4%	100-499
Ages 5–14, female	2,305	6.0%	100-499
Ages 5–14, male	2,230	5.8%	100-499

Commuting (work and study)

Commuting indicators for São Lourenço/MG
Employed persons (aged 10 and over)	21,320
Commute out to work in another municipality	1,005
Commute in from another municipality to work here	2,350
Net commuting	+1,345
Out-commuting rate (%)	4.70
Commuting attraction index	1.044
Median commuting time	40 min

Open São Lourenço/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 Lourenço/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-lourenco-mg-3163706/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.