Migration in Cristália/MG (2017–2022)

Cristália/MG had a reference population (aged 5 or over in 2022) of 4,765 people. In the 2017–2022 five-year period, the municipality received 255 in-migrants and lost 405 out-migrants to other municipalities in Brazil, resulting in a net migration of −145 people (−30.81 per 1,000 population) and a migration effectiveness index (IEM) of −0.223. 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 Cristália/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	255	172 to 338	use with caution
Out-migrants	405	245 to 565	use with caution
Net migration	−145	−325 to 35	not classified
Net migration rate, TLM (per 1,000 pop.)	−30.81	-	-
Migration effectiveness index (IEM)	−0.223	-	-

Sample of in-migrants: 50-99 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 Cristália/MG
Origin	People	Precision
Montes Claros/MG · view pair in the atlas	55	low precision
Ribeirão Preto/SP · view pair in the atlas	30	low precision
Botumirim/MG · view pair in the atlas	25	low precision
Uberlândia/MG · view pair in the atlas	15	low precision
Grão Mogol/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Cristália/MG
Destination	People	Precision
Montes Claros/MG · view pair in the atlas	80	low precision
Juruaia/MG · view pair in the atlas	40	low precision
Botumirim/MG · view pair in the atlas	20	low precision
Guimarânia/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	135	51.9%	20-49
First move from municipality of birth	65	25.0%	20-49
Multi-step migration	60	23.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	65	46.4%	20-49
Completed high school, incomplete higher education	55	39.3%	20-49
Completed higher education	15	10.7%	5-19
Other / suppressed	5	3.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	80	31.4%	20-49
¼ to ½ minimum wage	80	31.4%	20-49
Up to ¼ of a minimum wage	65	25.5%	20-49
1 to 2 minimum wages	20	7.8%	5-19
Other / suppressed	10	3.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	35	14.0%	5-19
Ages 15–24, female	35	14.0%	5-19
Ages 25–39, male	30	12.0%	5-19
Ages 40–59, male	30	12.0%	5-19
Ages 15–24, male	30	12.0%	5-19
Ages 5–14, male	25	10.0%	5-19
Ages 40–59, female	25	10.0%	5-19
Ages 5–14, female	25	10.0%	5-19
Other / suppressed	15	6.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	195	48.8%	20-49
Multi-step migration	175	43.8%	20-49
Return to municipality of birth	30	7.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	54.3%	5-19
Completed high school, incomplete higher education	65	37.1%	5-19
Other / suppressed	15	8.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	120	29.6%	5-19
¼ to ½ minimum wage	95	23.5%	5-19
1 to 2 minimum wages	95	23.5%	5-19
½ to 1 minimum wage	85	21.0%	5-19
Other / suppressed	10	2.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	105	25.9%	5-19
Ages 15–24, female	95	23.5%	5-19
Other / suppressed	70	17.3%	5-19
Ages 25–39, female	65	16.0%	5-19
Ages 25–39, male	35	8.6%	5-19
Ages 40–59, male	35	8.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,480	51.3%	>=500
Completed high school, incomplete higher education	770	26.7%	100-499
Completed elementary, incomplete high school	345	12.0%	100-499
Completed higher education	290	10.1%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	1,605	33.0%	>=500
½ to 1 minimum wage	1,440	29.6%	>=500
Up to ¼ of a minimum wage	1,240	25.5%	100-499
1 to 2 minimum wages	440	9.1%	100-499
More than 2 minimum wages	130	2.7%	20-49
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	595	13.2%	100-499
Ages 25–39, female	590	13.1%	100-499
Ages 40–59, male	555	12.3%	100-499
Ages 40–59, female	505	11.2%	100-499
Ages 15–24, male	445	9.9%	100-499
Ages 5–14, male	405	9.0%	100-499
Ages 15–24, female	400	8.9%	100-499
Ages 5–14, female	365	8.1%	100-499
Ages 60 and over, female	335	7.5%	100-499
Ages 60 and over, male	300	6.7%	100-499

Commuting (work and study)

Commuting indicators for Cristália/MG
Employed persons (aged 10 and over)	1,435
Commute out to work in another municipality	95
Commute in from another municipality to work here	160
Net commuting	+65
Out-commuting rate (%)	6.50
Commuting attraction index	0.986
Median commuting time	50 min

Open Cristália/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]: Cristália/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/cristalia-mg-3120300/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.