Migration in Divinópolis/MG (2017–2022)

Divinópolis/MG had a reference population (aged 5 or over in 2022) of 218,510 people. In the 2017–2022 five-year period, the municipality received 11,905 in-migrants and lost 9,305 out-migrants to other municipalities in Brazil, resulting in a net migration of +2,595 people (11.89 per 1,000 population) and a migration effectiveness index (IEM) of 0.122. This classifies the municipality, for the period, as one of migratory attraction. In addition, 60 arrived with an unreported origin and 270 came from abroad.

Indicators

Migration indicators for Divinópolis/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	11,905	10,882 to 12,928	good
Out-migrants	9,305	8,379 to 10,231	good
Net migration	+2,595	1,215 to 3,975	not classified
Net migration rate, TLM (per 1,000 pop.)	11.89	-	-
Migration effectiveness index (IEM)	0.122	-	-

Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Divinópolis/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	1,945	good
Contagem/MG · view pair in the atlas	350	use with caution
São Gonçalo do Pará/MG · view pair in the atlas	335	use with caution
Carmo do Cajuru/MG · view pair in the atlas	315	use with caution
Itaúna/MG · view pair in the atlas	295	use with caution
São Paulo/SP · view pair in the atlas	285	use with caution
Bom Despacho/MG · view pair in the atlas	230	use with caution
Rio de Janeiro/RJ · view pair in the atlas	230	low precision
Formiga/MG · view pair in the atlas	210	low precision
Pará de Minas/MG · view pair in the atlas	205	low precision

Top 10 destinations of out-migrants from Divinópolis/MG
Destination	People	Precision
Belo Horizonte/MG · view pair in the atlas	1,665	use with caution
Carmo do Cajuru/MG · view pair in the atlas	365	use with caution
Contagem/MG · view pair in the atlas	335	low precision
Nova Serrana/MG · view pair in the atlas	320	use with caution
São Sebastião do Oeste/MG · view pair in the atlas	290	good
Itaúna/MG · view pair in the atlas	285	use with caution
São Gonçalo do Pará/MG · view pair in the atlas	215	use with caution
São Paulo/SP · view pair in the atlas	160	low precision
Pará de Minas/MG · view pair in the atlas	155	use with caution
Bom Despacho/MG · view pair in the atlas	150	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	5,715	48.0%	>=500
Multi-step migration	4,405	37.0%	100-499
Return to municipality of birth	1,760	14.8%	100-499
Other / suppressed	25	0.2%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	2,850	36.2%	100-499
Completed high school, incomplete higher education	2,690	34.1%	100-499
No schooling or incomplete elementary	1,370	17.4%	100-499
Completed elementary, incomplete high school	970	12.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	3,735	31.4%	100-499
More than 2 minimum wages	3,390	28.5%	100-499
½ to 1 minimum wage	3,035	25.5%	100-499
¼ to ½ minimum wage	1,135	9.5%	100-499
Up to ¼ of a minimum wage	500	4.2%	50-99
Not applicable (collective dwelling)	115	1.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	2,165	18.2%	100-499
Ages 25–39, male	2,145	18.0%	100-499
Ages 15–24, male	1,470	12.3%	100-499
Ages 40–59, female	1,420	11.9%	100-499
Ages 15–24, female	1,270	10.7%	100-499
Ages 40–59, male	1,240	10.4%	100-499
Ages 5–14, male	690	5.8%	50-99
Ages 5–14, female	595	5.0%	50-99
Ages 60 and over, female	500	4.2%	20-49
Ages 60 and over, male	410	3.4%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	3,885	41.8%	100-499
Multi-step migration	3,510	37.7%	100-499
Return to municipality of birth	1,895	20.4%	100-499
Other / suppressed	10	0.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	2,690	40.9%	100-499
Completed high school, incomplete higher education	1,910	29.1%	100-499
No schooling or incomplete elementary	1,125	17.1%	100-499
Completed elementary, incomplete high school	845	12.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	3,085	33.2%	100-499
1 to 2 minimum wages	2,285	24.6%	100-499
½ to 1 minimum wage	2,150	23.1%	100-499
¼ to ½ minimum wage	975	10.5%	100-499
Up to ¼ of a minimum wage	665	7.2%	50-99
Not applicable (collective dwelling)	140	1.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	2,085	22.4%	100-499
Ages 25–39, male	1,630	17.5%	100-499
Ages 40–59, male	1,030	11.1%	100-499
Ages 40–59, female	990	10.7%	100-499
Ages 15–24, male	850	9.1%	50-99
Ages 15–24, female	725	7.8%	50-99
Ages 5–14, female	645	6.9%	50-99
Ages 5–14, male	515	5.5%	50-99
Ages 60 and over, female	475	5.1%	50-99
Ages 60 and over, male	350	3.8%	20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	50,700	32.8%	>=500
No schooling or incomplete elementary	46,620	30.2%	>=500
Completed higher education	31,965	20.7%	>=500
Completed elementary, incomplete high school	25,205	16.3%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	72,030	32.9%	>=500
½ to 1 minimum wage	67,810	31.0%	>=500
More than 2 minimum wages	41,100	18.8%	>=500
¼ to ½ minimum wage	25,835	11.8%	>=500
Up to ¼ of a minimum wage	11,230	5.1%	>=500
Not applicable (collective dwelling)	855	0.4%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	33,700	16.3%	>=500
Ages 40–59, male	30,140	14.6%	>=500
Ages 25–39, female	24,750	12.0%	>=500
Ages 25–39, male	24,385	11.8%	>=500
Ages 60 and over, female	23,100	11.2%	>=500
Ages 60 and over, male	18,415	8.9%	>=500
Ages 15–24, female	14,075	6.8%	>=500
Ages 15–24, male	13,995	6.8%	>=500
Ages 5–14, male	11,915	5.8%	>=500
Ages 5–14, female	11,795	5.7%	>=500

Commuting (work and study)

Commuting indicators for Divinópolis/MG
Employed persons (aged 10 and over)	123,005
Commute out to work in another municipality	4,340
Commute in from another municipality to work here	3,630
Net commuting	−710
Out-commuting rate (%)	3.53
Commuting attraction index	0.968
Median commuting time	60 min

Open Divinópolis/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]: Divinópolis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/divinopolis-mg-3122306/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.