Migration in Ladainha/MG (2017–2022)

Ladainha/MG had a reference population (aged 5 or over in 2022) of 13,500 people. In the 2017–2022 five-year period, the municipality received 815 in-migrants and lost 1,160 out-migrants to other municipalities in Brazil, resulting in a net migration of −345 people (−25.42 per 1,000 population) and a migration effectiveness index (IEM) of −0.174. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 40 came from abroad.

Indicators

Migration indicators for Ladainha/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	815	637 to 993	good
Out-migrants	1,160	800 to 1,520	use with caution
Net migration	−345	−746 to 56	not classified
Net migration rate, TLM (per 1,000 pop.)	−25.42	-	-
Migration effectiveness index (IEM)	−0.174	-	-

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 Ladainha/MG
Origin	People	Precision
Novo Cruzeiro/MG · view pair in the atlas	90	low precision
São Paulo/SP · view pair in the atlas	85	use with caution
Teófilo Otoni/MG · view pair in the atlas	75	low precision
Belo Horizonte/MG · view pair in the atlas	70	low precision
Ubatuba/SP · view pair in the atlas	65	low precision
Rio de Janeiro/RJ · view pair in the atlas	30	low precision
Poté/MG · view pair in the atlas	30	low precision
Malacacheta/MG · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Ladainha/MG
Destination	People	Precision
Teófilo Otoni/MG · view pair in the atlas	335	low precision
Ubatuba/SP · view pair in the atlas	225	use with caution
Poté/MG · view pair in the atlas	55	low precision
Itaipé/MG · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	310	38.3%	50-99
Return to municipality of birth	300	37.0%	50-99
Multi-step migration	200	24.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	245	46.2%	50-99
Completed high school, incomplete higher education	115	21.7%	20-49
Completed elementary, incomplete high school	100	18.9%	20-49
Completed higher education	70	13.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	270	33.1%	50-99
¼ to ½ minimum wage	195	23.9%	20-49
1 to 2 minimum wages	160	19.6%	20-49
Up to ¼ of a minimum wage	155	19.0%	20-49
More than 2 minimum wages	35	4.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	130	16.0%	20-49
Ages 25–39, male	120	14.7%	20-49
Ages 40–59, male	110	13.5%	20-49
Ages 25–39, female	90	11.0%	5-19
Ages 15–24, female	80	9.8%	5-19
Ages 5–14, female	75	9.2%	5-19
Ages 5–14, male	75	9.2%	5-19
Ages 60 and over, male	45	5.5%	5-19
Ages 60 and over, female	45	5.5%	5-19
Ages 15–24, male	45	5.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	745	64.5%	50-99
Multi-step migration	325	28.1%	20-49
Return to municipality of birth	85	7.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	300	52.2%	20-49
Completed high school, incomplete higher education	135	23.5%	5-19
Completed elementary, incomplete high school	90	15.7%	5-19
Completed higher education	50	8.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	325	28.0%	20-49
1 to 2 minimum wages	305	26.3%	20-49
½ to 1 minimum wage	260	22.4%	20-49
¼ to ½ minimum wage	200	17.2%	20-49
More than 2 minimum wages	70	6.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	240	20.8%	20-49
Ages 25–39, female	195	16.9%	20-49
Ages 25–39, male	190	16.5%	20-49
Ages 5–14, male	155	13.4%	5-19
Ages 15–24, female	150	13.0%	20-49
Ages 40–59, female	60	5.2%	5-19
Ages 40–59, male	50	4.3%	5-19
Ages 5–14, female	45	3.9%	5-19
Ages 60 and over, female	40	3.5%	5-19
Other / suppressed	30	2.6%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,575	67.4%	>=500
Completed high school, incomplete higher education	1,420	17.2%	100-499
Completed elementary, incomplete high school	730	8.8%	100-499
Completed higher education	545	6.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	4,105	30.3%	>=500
½ to 1 minimum wage	4,100	30.3%	>=500
¼ to ½ minimum wage	3,335	24.6%	>=500
1 to 2 minimum wages	1,550	11.5%	100-499
More than 2 minimum wages	385	2.8%	50-99
Not applicable (collective dwelling)	55	0.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,630	12.9%	100-499
Ages 40–59, male	1,620	12.8%	100-499
Ages 25–39, female	1,355	10.7%	100-499
Ages 25–39, male	1,300	10.3%	100-499
Ages 60 and over, female	1,285	10.2%	100-499
Ages 15–24, male	1,195	9.5%	100-499
Ages 15–24, female	1,195	9.5%	100-499
Ages 60 and over, male	1,075	8.5%	100-499
Ages 5–14, female	995	7.9%	100-499
Ages 5–14, male	995	7.9%	100-499

Commuting (work and study)

Commuting indicators for Ladainha/MG
Employed persons (aged 10 and over)	4,110
Commute out to work in another municipality	265
Commute in from another municipality to work here	85
Net commuting	−180
Out-commuting rate (%)	6.46
Commuting attraction index	0.898
Median commuting time	30 min

Open Ladainha/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]: Ladainha/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ladainha-mg-3137007/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.