Migration in Toledo/MG (2017–2022)

Toledo/MG had a reference population (aged 5 or over in 2022) of 6,770 people. In the 2017–2022 five-year period, the municipality received 1,005 in-migrants and lost 350 out-migrants to other municipalities in Brazil, resulting in a net migration of +655 people (96.88 per 1,000 population) and a migration effectiveness index (IEM) of 0.484. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Toledo/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,005	842 to 1,168	good
Out-migrants	350	197 to 503	use with caution
Net migration	+655	431 to 879	not classified
Net migration rate, TLM (per 1,000 pop.)	96.88	-	-
Migration effectiveness index (IEM)	0.484	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Toledo/MG
Origin	People	Precision
São Paulo/SP · view pair in the atlas	160	use with caution
Pedra Bela/SP · view pair in the atlas	85	low precision
Extrema/MG · view pair in the atlas	80	low precision
Bragança Paulista/SP · view pair in the atlas	75	low precision
Santo André/SP · view pair in the atlas	40	low precision
Guarulhos/SP · view pair in the atlas	40	low precision
Barra de Santa Rosa/PB · view pair in the atlas	35	low precision
Campinas/SP · view pair in the atlas	25	low precision
Munhoz/MG · view pair in the atlas	20	low precision
Itapeva/MG · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Toledo/MG
Destination	People	Precision
Socorro/SP · view pair in the atlas	55	low precision
Pedra Bela/SP · view pair in the atlas	20	low precision
Munhoz/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	490	48.8%	100-499
First move from municipality of birth	445	44.3%	100-499
Return to municipality of birth	70	7.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	225	32.4%	50-99
Completed high school, incomplete higher education	220	31.7%	50-99
Completed elementary, incomplete high school	210	30.2%	50-99
Completed higher education	40	5.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	355	35.3%	100-499
1 to 2 minimum wages	265	26.4%	50-99
¼ to ½ minimum wage	160	15.9%	50-99
More than 2 minimum wages	120	11.9%	20-49
Up to ¼ of a minimum wage	105	10.4%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	150	14.9%	50-99
Ages 25–39, male	145	14.4%	50-99
Ages 40–59, female	135	13.4%	20-49
Ages 40–59, male	125	12.4%	20-49
Ages 5–14, male	100	9.9%	20-49
Ages 15–24, male	85	8.4%	20-49
Ages 60 and over, male	75	7.4%	20-49
Ages 60 and over, female	70	6.9%	20-49
Ages 15–24, female	70	6.9%	20-49
Ages 5–14, female	55	5.4%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	220	62.9%	20-49
First move from municipality of birth	95	27.1%	5-19
Return to municipality of birth	35	10.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	125	54.3%	5-19
Completed elementary, incomplete high school	65	28.3%	5-19
No schooling or incomplete elementary	30	13.0%	5-19
Other / suppressed	10	4.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	100	28.2%	5-19
More than 2 minimum wages	95	26.8%	5-19
½ to 1 minimum wage	70	19.7%	5-19
¼ to ½ minimum wage	45	12.7%	5-19
Other / suppressed	45	12.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	95	27.1%	5-19
Other / suppressed	65	18.6%	5-19
Ages 25–39, female	60	17.1%	5-19
Ages 15–24, male	50	14.3%	5-19
Ages 40–59, male	40	11.4%	5-19
Ages 5–14, female	40	11.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,255	53.4%	>=500
Completed elementary, incomplete high school	1,005	23.8%	100-499
Completed high school, incomplete higher education	810	19.2%	100-499
Completed higher education	155	3.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,405	38.7%	>=500
1 to 2 minimum wages	1,705	27.4%	>=500
¼ to ½ minimum wage	1,060	17.1%	100-499
Up to ¼ of a minimum wage	510	8.2%	100-499
More than 2 minimum wages	485	7.8%	100-499
Not applicable (collective dwelling)	50	0.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	860	14.9%	100-499
Ages 40–59, female	780	13.5%	100-499
Ages 25–39, male	680	11.8%	100-499
Ages 60 and over, male	675	11.7%	100-499
Ages 25–39, female	620	10.8%	100-499
Ages 60 and over, female	615	10.7%	100-499
Ages 15–24, male	400	6.9%	100-499
Ages 15–24, female	395	6.9%	100-499
Ages 5–14, female	390	6.8%	100-499
Ages 5–14, male	350	6.1%	100-499

Commuting (work and study)

Commuting indicators for Toledo/MG
Employed persons (aged 10 and over)	3,305
Commute out to work in another municipality	620
Commute in from another municipality to work here	265
Net commuting	−355
Out-commuting rate (%)	18.67
Commuting attraction index	0.890
Median commuting time	40 min

Open Toledo/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]: Toledo/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/toledo-mg-3169109/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.