Migration in Datas/MG (2017–2022)

Datas/MG had a reference population (aged 5 or over in 2022) of 5,105 people. In the 2017–2022 five-year period, the municipality received 270 in-migrants and lost 175 out-migrants to other municipalities in Brazil, resulting in a net migration of +95 people (18.67 per 1,000 population) and a migration effectiveness index (IEM) of 0.215. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Datas/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	270	182 to 358	use with caution
Out-migrants	175	89 to 261	use with caution
Net migration	+95	−28 to 218	not classified
Net migration rate, TLM (per 1,000 pop.)	18.67	-	-
Migration effectiveness index (IEM)	0.215	-	-

Sample of in-migrants: 50-99 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 Datas/MG
Origin	People	Precision
Serro/MG · view pair in the atlas	65	low precision
Belo Horizonte/MG · view pair in the atlas	65	low precision
Diamantina/MG · view pair in the atlas	45	low precision
Gouveia/MG · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Datas/MG
Destination	People	Precision
Presidente Kubitschek/MG · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	160	59.3%	50-99
Multi-step migration	65	24.1%	20-49
Return to municipality of birth	45	16.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	50	31.2%	5-19
No schooling or incomplete elementary	50	31.2%	5-19
Completed elementary, incomplete high school	40	25.0%	5-19
Completed higher education	20	12.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	95	35.2%	20-49
¼ to ½ minimum wage	75	27.8%	20-49
Up to ¼ of a minimum wage	65	24.1%	20-49
1 to 2 minimum wages	20	7.4%	5-19
More than 2 minimum wages	15	5.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	40	15.1%	5-19
Ages 25–39, female	40	15.1%	5-19
Ages 5–14, female	40	15.1%	5-19
Ages 40–59, female	35	13.2%	5-19
Ages 5–14, male	30	11.3%	5-19
Ages 15–24, female	30	11.3%	5-19
Ages 60 and over, female	20	7.5%	5-19
Ages 40–59, male	15	5.7%	5-19
Other / suppressed	15	5.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	95	55.9%	5-19
First move from municipality of birth	75	44.1%	5-19
Other / suppressed	0	0.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	60	60.0%	5-19
Other / suppressed	20	20.0%	5-19
Completed higher education	20	20.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	55	32.4%	5-19
More than 2 minimum wages	50	29.4%	5-19
½ to 1 minimum wage	40	23.5%	5-19
¼ to ½ minimum wage	20	11.8%	5-19
Other / suppressed	5	2.9%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	75	42.9%	5-19
Ages 25–39, female	65	37.1%	5-19
Ages 15–24, female	35	20.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,825	55.0%	>=500
Completed high school, incomplete higher education	770	23.2%	100-499
Completed elementary, incomplete high school	370	11.1%	100-499
Completed higher education	355	10.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,865	35.9%	>=500
¼ to ½ minimum wage	1,765	33.9%	>=500
Up to ¼ of a minimum wage	770	14.8%	100-499
1 to 2 minimum wages	595	11.4%	100-499
More than 2 minimum wages	205	3.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	670	13.9%	100-499
Ages 40–59, male	630	13.0%	100-499
Ages 25–39, male	550	11.4%	100-499
Ages 25–39, female	550	11.4%	100-499
Ages 60 and over, female	495	10.2%	100-499
Ages 60 and over, male	425	8.8%	100-499
Ages 15–24, female	400	8.3%	100-499
Ages 5–14, male	390	8.1%	100-499
Ages 15–24, male	385	8.0%	100-499
Ages 5–14, female	340	7.0%	100-499

Commuting (work and study)

Commuting indicators for Datas/MG
Employed persons (aged 10 and over)	2,085
Commute out to work in another municipality	175
Commute in from another municipality to work here	80
Net commuting	−95
Out-commuting rate (%)	8.49
Commuting attraction index	0.953
Median commuting time	60 min

Open Datas/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]: Datas/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/datas-mg-3121001/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.