Migration in Espera Feliz/MG (2017–2022)

Espera Feliz/MG had a reference population (aged 5 or over in 2022) of 22,575 people. In the 2017–2022 five-year period, the municipality received 1,325 in-migrants and lost 1,685 out-migrants to other municipalities in Brazil, resulting in a net migration of −360 people (−15.92 per 1,000 population) and a migration effectiveness index (IEM) of −0.119. 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 Espera Feliz/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,325	1,001 to 1,649	good
Out-migrants	1,685	1,374 to 1,996	good
Net migration	−360	−809 to 89	not classified
Net migration rate, TLM (per 1,000 pop.)	−15.92	-	-
Migration effectiveness index (IEM)	−0.119	-	-

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

Top origins and destinations

Top 10 origins of in-migrants to Espera Feliz/MG
Origin	People	Precision
Dores do Rio Preto/ES · view pair in the atlas	165	low precision
Caiana/MG · view pair in the atlas	160	low precision
Carangola/MG · view pair in the atlas	140	low precision
Rio de Janeiro/RJ · view pair in the atlas	120	low precision
Caparaó/MG · view pair in the atlas	100	low precision

Top 10 destinations of out-migrants from Espera Feliz/MG
Destination	People	Precision
Dores do Rio Preto/ES · view pair in the atlas	330	use with caution
Caiana/MG · view pair in the atlas	185	use with caution
Guaçuí/ES · view pair in the atlas	130	low precision
Carangola/MG · view pair in the atlas	90	low precision
Caparaó/MG · view pair in the atlas	90	use with caution
Porciúncula/RJ · view pair in the atlas	60	low precision
Alegre/ES · view pair in the atlas	30	low precision
Alto Caparaó/MG · view pair in the atlas	30	low precision
Tombos/MG · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	625	47.0%	50-99
First move from municipality of birth	455	34.2%	20-49
Return to municipality of birth	250	18.8%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	375	44.4%	20-49
Completed high school, incomplete higher education	185	21.9%	20-49
Completed elementary, incomplete high school	145	17.2%	5-19
Completed higher education	140	16.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	535	40.2%	50-99
¼ to ½ minimum wage	345	25.9%	20-49
1 to 2 minimum wages	250	18.8%	20-49
More than 2 minimum wages	180	13.5%	5-19
Other / suppressed	20	1.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	255	19.2%	20-49
Ages 40–59, female	175	13.2%	5-19
Ages 15–24, male	150	11.3%	5-19
Ages 40–59, male	140	10.6%	5-19
Ages 15–24, female	115	8.7%	5-19
Ages 5–14, male	115	8.7%	5-19
Ages 5–14, female	105	7.9%	5-19
Ages 25–39, male	95	7.2%	5-19
Ages 60 and over, female	90	6.8%	5-19
Ages 60 and over, male	85	6.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	720	42.6%	100-499
Multi-step migration	690	40.8%	100-499
Return to municipality of birth	280	16.6%	50-99

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	410	38.9%	50-99
Completed high school, incomplete higher education	285	27.0%	50-99
Completed higher education	190	18.0%	20-49
Completed elementary, incomplete high school	170	16.1%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	640	38.0%	100-499
¼ to ½ minimum wage	400	23.7%	50-99
1 to 2 minimum wages	330	19.6%	50-99
More than 2 minimum wages	225	13.4%	20-49
Up to ¼ of a minimum wage	80	4.7%	20-49
Other / suppressed	10	0.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	335	19.9%	50-99
Ages 25–39, male	255	15.1%	50-99
Ages 15–24, female	210	12.5%	20-49
Ages 5–14, male	165	9.8%	20-49
Ages 40–59, female	150	8.9%	20-49
Ages 5–14, female	135	8.0%	20-49
Ages 40–59, male	125	7.4%	20-49
Ages 15–24, male	120	7.1%	20-49
Ages 60 and over, female	100	5.9%	5-19
Ages 60 and over, male	90	5.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	9,220	60.8%	>=500
Completed high school, incomplete higher education	2,740	18.1%	100-499
Completed elementary, incomplete high school	1,690	11.1%	100-499
Completed higher education	1,510	10.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	9,365	41.1%	>=500
¼ to ½ minimum wage	5,295	23.2%	>=500
1 to 2 minimum wages	3,970	17.4%	100-499
Up to ¼ of a minimum wage	2,285	10.0%	100-499
More than 2 minimum wages	1,860	8.2%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	3,075	14.5%	100-499
Ages 40–59, male	3,015	14.2%	100-499
Ages 25–39, male	2,570	12.1%	100-499
Ages 25–39, female	2,515	11.8%	100-499
Ages 60 and over, female	2,075	9.8%	100-499
Ages 60 and over, male	1,905	9.0%	100-499
Ages 15–24, female	1,615	7.6%	100-499
Ages 15–24, male	1,605	7.6%	100-499
Ages 5–14, male	1,470	6.9%	100-499
Ages 5–14, female	1,395	6.6%	100-499

Commuting (work and study)

Commuting indicators for Espera Feliz/MG
Employed persons (aged 10 and over)	11,465
Commute out to work in another municipality	505
Commute in from another municipality to work here	495
Net commuting	−10
Out-commuting rate (%)	4.40
Commuting attraction index	0.986
Median commuting time	30 min

Open Espera Feliz/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]: Espera Feliz/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/espera-feliz-mg-3124203/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.