Migration in Felixlândia/MG (2017–2022)

Felixlândia/MG had a reference population (aged 5 or over in 2022) of 13,315 people. In the 2017–2022 five-year period, the municipality received 875 in-migrants and lost 605 out-migrants to other municipalities in Brazil, resulting in a net migration of +275 people (20.49 per 1,000 population) and a migration effectiveness index (IEM) of 0.184. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Felixlândia/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	875	680 to 1,070	good
Out-migrants	605	375 to 835	use with caution
Net migration	+275	−26 to 576	not classified
Net migration rate, TLM (per 1,000 pop.)	20.49	-	-
Migration effectiveness index (IEM)	0.184	-	-

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 Felixlândia/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	235	use with caution
Curvelo/MG · view pair in the atlas	85	low precision
Sete Lagoas/MG · view pair in the atlas	70	low precision
Ribeirão das Neves/MG · view pair in the atlas	55	low precision
Contagem/MG · view pair in the atlas	30	low precision
Corinto/MG · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Felixlândia/MG
Destination	People	Precision
Curvelo/MG · view pair in the atlas	230	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	435	49.7%	50-99
First move from municipality of birth	305	34.9%	50-99
Return to municipality of birth	135	15.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	240	36.9%	50-99
Completed high school, incomplete higher education	195	30.0%	20-49
Completed higher education	120	18.5%	20-49
Completed elementary, incomplete high school	95	14.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	295	33.7%	50-99
1 to 2 minimum wages	210	24.0%	20-49
¼ to ½ minimum wage	170	19.4%	20-49
More than 2 minimum wages	145	16.6%	20-49
Up to ¼ of a minimum wage	55	6.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	130	14.9%	20-49
Ages 60 and over, male	115	13.2%	20-49
Ages 25–39, female	110	12.6%	20-49
Ages 25–39, male	105	12.1%	20-49
Ages 40–59, male	100	11.5%	20-49
Ages 60 and over, female	85	9.8%	5-19
Ages 5–14, male	75	8.6%	5-19
Ages 5–14, female	70	8.0%	5-19
Ages 15–24, female	55	6.3%	5-19
Ages 15–24, male	25	2.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	240	39.7%	20-49
Multi-step migration	235	38.8%	20-49
First move from municipality of birth	130	21.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	140	43.8%	20-49
Completed high school, incomplete higher education	110	34.4%	5-19
Completed elementary, incomplete high school	45	14.1%	5-19
Other / suppressed	25	7.8%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	265	43.8%	20-49
1 to 2 minimum wages	140	23.1%	5-19
¼ to ½ minimum wage	105	17.4%	20-49
Other / suppressed	55	9.1%	5-19
More than 2 minimum wages	40	6.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	90	15.0%	5-19
Ages 15–24, female	80	13.3%	5-19
Ages 15–24, male	75	12.5%	5-19
Ages 25–39, female	70	11.7%	5-19
Ages 5–14, female	65	10.8%	5-19
Ages 5–14, male	60	10.0%	5-19
Ages 40–59, female	60	10.0%	5-19
Ages 25–39, male	55	9.2%	5-19
Ages 60 and over, female	30	5.0%	5-19
Other / suppressed	15	2.5%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,055	54.2%	>=500
Completed high school, incomplete higher education	2,040	21.9%	100-499
Completed elementary, incomplete high school	1,255	13.5%	100-499
Completed higher education	980	10.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	5,035	38.4%	>=500
1 to 2 minimum wages	3,005	22.9%	>=500
¼ to ½ minimum wage	2,945	22.5%	>=500
More than 2 minimum wages	1,270	9.7%	100-499
Up to ¼ of a minimum wage	805	6.1%	100-499
Not applicable (collective dwelling)	35	0.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,900	15.3%	100-499
Ages 40–59, male	1,890	15.2%	100-499
Ages 60 and over, male	1,565	12.6%	100-499
Ages 60 and over, female	1,525	12.3%	100-499
Ages 25–39, female	1,260	10.1%	100-499
Ages 25–39, male	1,185	9.5%	100-499
Ages 15–24, female	845	6.8%	100-499
Ages 15–24, male	840	6.8%	100-499
Ages 5–14, male	740	6.0%	100-499
Ages 5–14, female	680	5.5%	100-499

Commuting (work and study)

Commuting indicators for Felixlândia/MG
Employed persons (aged 10 and over)	5,970
Commute out to work in another municipality	425
Commute in from another municipality to work here	200
Net commuting	−225
Out-commuting rate (%)	7.14
Commuting attraction index	0.945
Median commuting time	90 min

Open Felixlândia/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]: Felixlândia/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/felixlandia-mg-3125705/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.