Migration in Jequitaí/MG (2017–2022)

Jequitaí/MG had a reference population (aged 5 or over in 2022) of 6,135 people. In the 2017–2022 five-year period, the municipality received 335 in-migrants and lost 670 out-migrants to other municipalities in Brazil, resulting in a net migration of −335 people (−54.64 per 1,000 population) and a migration effectiveness index (IEM) of −0.334. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Jequitaí/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	335	246 to 424	good
Out-migrants	670	417 to 923	use with caution
Net migration	−335	−603 to −67	not classified
Net migration rate, TLM (per 1,000 pop.)	−54.64	-	-
Migration effectiveness index (IEM)	−0.334	-	-

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 Jequitaí/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	65	low precision
Montes Claros/MG · view pair in the atlas	45	low precision
Uberlândia/MG · view pair in the atlas	40	low precision
São Paulo/SP · view pair in the atlas	25	low precision
Pirapora/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Jequitaí/MG
Destination	People	Precision
Uberlândia/MG · view pair in the atlas	130	low precision
Montes Claros/MG · view pair in the atlas	70	low precision
Várzea da Palma/MG · view pair in the atlas	55	low precision
Lagoa dos Patos/MG · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	150	44.8%	20-49
Multi-step migration	105	31.3%	20-49
First move from municipality of birth	80	23.9%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	100	43.5%	20-49
No schooling or incomplete elementary	70	30.4%	20-49
Completed elementary, incomplete high school	30	13.0%	5-19
Completed higher education	30	13.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	160	47.8%	20-49
1 to 2 minimum wages	65	19.4%	20-49
¼ to ½ minimum wage	45	13.4%	5-19
Up to ¼ of a minimum wage	35	10.4%	5-19
More than 2 minimum wages	25	7.5%	5-19
Other / suppressed	5	1.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	70	20.6%	20-49
Ages 40–59, male	55	16.2%	5-19
Ages 25–39, male	45	13.2%	5-19
Ages 5–14, female	40	11.8%	5-19
Ages 40–59, female	30	8.8%	5-19
Ages 15–24, female	25	7.4%	5-19
Ages 5–14, male	25	7.4%	5-19
Ages 60 and over, male	20	5.9%	5-19
Ages 15–24, male	15	4.4%	5-19
Ages 60 and over, female	15	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	395	59.4%	20-49
First move from municipality of birth	230	34.6%	20-49
Return to municipality of birth	40	6.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	140	44.4%	5-19
Completed high school, incomplete higher education	85	27.0%	5-19
Completed elementary, incomplete high school	70	22.2%	5-19
Other / suppressed	20	6.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	270	40.3%	20-49
1 to 2 minimum wages	175	26.1%	5-19
¼ to ½ minimum wage	165	24.6%	20-49
Other / suppressed	40	6.0%	<5
Up to ¼ of a minimum wage	20	3.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	125	18.7%	5-19
Ages 15–24, male	100	14.9%	5-19
Ages 5–14, female	100	14.9%	5-19
Other / suppressed	85	12.7%	5-19
Ages 25–39, female	85	12.7%	5-19
Ages 25–39, male	85	12.7%	5-19
Ages 40–59, female	55	8.2%	5-19
Ages 5–14, male	35	5.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,495	58.3%	>=500
Completed high school, incomplete higher education	1,040	24.3%	100-499
Completed elementary, incomplete high school	485	11.3%	100-499
Completed higher education	260	6.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,700	43.9%	>=500
¼ to ½ minimum wage	1,760	28.6%	>=500
1 to 2 minimum wages	860	14.0%	100-499
Up to ¼ of a minimum wage	545	8.9%	100-499
More than 2 minimum wages	225	3.7%	50-99
Not applicable (collective dwelling)	55	0.9%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	895	15.4%	100-499
Ages 40–59, male	815	14.1%	100-499
Ages 60 and over, male	680	11.7%	100-499
Ages 60 and over, female	670	11.6%	100-499
Ages 25–39, female	620	10.7%	100-499
Ages 25–39, male	605	10.4%	100-499
Ages 5–14, male	405	7.0%	100-499
Ages 5–14, female	385	6.6%	100-499
Ages 15–24, male	380	6.6%	100-499
Ages 15–24, female	345	5.9%	100-499

Commuting (work and study)

Commuting indicators for Jequitaí/MG
Employed persons (aged 10 and over)	2,410
Commute out to work in another municipality	100
Commute in from another municipality to work here	80
Net commuting	−20
Out-commuting rate (%)	4.15
Commuting attraction index	0.977
Median commuting time	90 min

Open Jequitaí/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]: Jequitaí/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/jequitai-mg-3135605/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.