Migration in Santa Fé de Minas/MG (2017–2022)

Santa Fé de Minas/MG had a reference population (aged 5 or over in 2022) of 3,280 people. In the 2017–2022 five-year period, the municipality received 355 in-migrants and lost 455 out-migrants to other municipalities in Brazil, resulting in a net migration of −95 people (−29.69 per 1,000 population) and a migration effectiveness index (IEM) of −0.120. This classifies the municipality, for the period, as one of migratory depletion. In addition, 25 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Santa Fé de Minas/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	355	256 to 454	good
Out-migrants	455	266 to 644	use with caution
Net migration	−95	−308 to 118	not classified
Net migration rate, TLM (per 1,000 pop.)	−29.69	-	-
Migration effectiveness index (IEM)	−0.120	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Santa Fé de Minas/MG
Origin	People	Precision
Uberlândia/MG · view pair in the atlas	35	low precision
Brasilândia de Minas/MG · view pair in the atlas	35	low precision
Bonfinópolis de Minas/MG · view pair in the atlas	35	low precision
São Romão/MG · view pair in the atlas	30	low precision
Buritizeiro/MG · view pair in the atlas	20	low precision
Belo Horizonte/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Santa Fé de Minas/MG
Destination	People	Precision
Brasilândia de Minas/MG · view pair in the atlas	185	low precision
São Romão/MG · view pair in the atlas	50	low precision
Bonfinópolis de Minas/MG · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	160	45.1%	50-99
First move from municipality of birth	110	31.0%	20-49
Return to municipality of birth	85	23.9%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	65	30.2%	20-49
No schooling or incomplete elementary	60	27.9%	20-49
Completed higher education	50	23.3%	5-19
Completed elementary, incomplete high school	40	18.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	140	39.4%	20-49
¼ to ½ minimum wage	95	26.8%	20-49
1 to 2 minimum wages	75	21.1%	20-49
Up to ¼ of a minimum wage	25	7.0%	5-19
More than 2 minimum wages	20	5.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	65	18.3%	20-49
Ages 25–39, female	55	15.5%	5-19
Ages 5–14, female	40	11.3%	5-19
Ages 15–24, female	40	11.3%	5-19
Ages 15–24, male	40	11.3%	5-19
Ages 40–59, female	30	8.5%	5-19
Ages 40–59, male	30	8.5%	5-19
Ages 60 and over, female	20	5.6%	5-19
Ages 5–14, male	20	5.6%	5-19
Ages 60 and over, male	15	4.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	235	51.6%	20-49
First move from municipality of birth	195	42.9%	20-49
Return to municipality of birth	25	5.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	52.3%	5-19
Completed elementary, incomplete high school	50	22.7%	5-19
Completed high school, incomplete higher education	45	20.5%	5-19
Other / suppressed	10	4.5%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	180	40.0%	20-49
½ to 1 minimum wage	160	35.6%	20-49
1 to 2 minimum wages	55	12.2%	5-19
Up to ¼ of a minimum wage	30	6.7%	5-19
More than 2 minimum wages	25	5.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	80	17.6%	5-19
Ages 15–24, female	75	16.5%	5-19
Ages 5–14, female	65	14.3%	5-19
Ages 25–39, female	55	12.1%	5-19
Ages 15–24, male	55	12.1%	5-19
Ages 25–39, male	45	9.9%	5-19
Ages 5–14, male	40	8.8%	5-19
Ages 40–59, male	40	8.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,190	59.1%	100-499
Completed high school, incomplete higher education	470	23.3%	100-499
Completed elementary, incomplete high school	195	9.7%	50-99
Completed higher education	160	7.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,365	43.5%	100-499
¼ to ½ minimum wage	840	26.8%	100-499
Up to ¼ of a minimum wage	465	14.8%	100-499
1 to 2 minimum wages	405	12.9%	100-499
More than 2 minimum wages	65	2.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	435	15.0%	100-499
Ages 40–59, female	405	14.0%	100-499
Ages 60 and over, male	325	11.2%	100-499
Ages 25–39, male	310	10.7%	100-499
Ages 25–39, female	285	9.8%	50-99
Ages 60 and over, female	260	9.0%	50-99
Ages 15–24, male	235	8.1%	50-99
Ages 5–14, male	235	8.1%	50-99
Ages 15–24, female	205	7.1%	50-99
Ages 5–14, female	200	6.9%	50-99

Commuting (work and study)

Commuting indicators for Santa Fé de Minas/MG
Employed persons (aged 10 and over)	1,330
Commute out to work in another municipality	80
Commute in from another municipality to work here	105
Net commuting	+20
Out-commuting rate (%)	6.15
Commuting attraction index	1.008
Median commuting time	60 min

Open Santa Fé de Minas/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]: Santa Fé de Minas/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-fe-de-minas-mg-3157609/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.