Migration in Ivolândia/GO (2017–2022)

Ivolândia/GO had a reference population (aged 5 or over in 2022) of 2,550 people. In the 2017–2022 five-year period, the municipality received 490 in-migrants and lost 310 out-migrants to other municipalities in Brazil, resulting in a net migration of +180 people (70.29 per 1,000 population) and a migration effectiveness index (IEM) of 0.224. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Ivolândia/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	490	388 to 592	good
Out-migrants	310	138 to 482	use with caution
Net migration	+180	−20 to 380	not classified
Net migration rate, TLM (per 1,000 pop.)	70.29	-	-
Migration effectiveness index (IEM)	0.224	-	-

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 Ivolândia/GO
Origin	People	Precision
Iporá/GO · view pair in the atlas	75	use with caution
São Luís de Montes Belos/GO · view pair in the atlas	50	low precision
Rio Verde/GO · view pair in the atlas	35	low precision
Goiânia/GO · view pair in the atlas	30	low precision
Cachoeira de Goiás/GO · view pair in the atlas	25	low precision
Moiporá/GO · view pair in the atlas	25	low precision
Amorinópolis/GO · view pair in the atlas	20	low precision
Palestina de Goiás/GO · view pair in the atlas	10	low precision

Top 10 destinations of out-migrants from Ivolândia/GO
Destination	People	Precision
Iporá/GO · view pair in the atlas	60	low precision
Moiporá/GO · view pair in the atlas	25	low precision
Cachoeira de Goiás/GO · 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	275	56.7%	100-499
First move from municipality of birth	160	33.0%	50-99
Return to municipality of birth	50	10.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	38.8%	50-99
Completed elementary, incomplete high school	90	26.9%	20-49
Completed high school, incomplete higher education	75	22.4%	20-49
Completed higher education	40	11.9%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	225	45.9%	50-99
1 to 2 minimum wages	115	23.5%	50-99
¼ to ½ minimum wage	80	16.3%	20-49
More than 2 minimum wages	65	13.3%	20-49
Other / suppressed	5	1.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	85	17.3%	20-49
Ages 40–59, female	70	14.3%	20-49
Ages 25–39, female	70	14.3%	20-49
Ages 25–39, male	65	13.3%	20-49
Ages 15–24, female	50	10.2%	20-49
Ages 5–14, male	45	9.2%	20-49
Ages 15–24, male	35	7.1%	5-19
Ages 5–14, female	25	5.1%	5-19
Ages 60 and over, female	25	5.1%	5-19
Ages 60 and over, male	20	4.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	135	43.5%	5-19
Multi-step migration	135	43.5%	20-49
Return to municipality of birth	40	12.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	95	39.6%	5-19
No schooling or incomplete elementary	75	31.2%	5-19
Completed elementary, incomplete high school	35	14.6%	5-19
Completed higher education	35	14.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	155	49.2%	20-49
1 to 2 minimum wages	90	28.6%	5-19
¼ to ½ minimum wage	40	12.7%	5-19
More than 2 minimum wages	25	7.9%	5-19
Other / suppressed	5	1.6%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	110	35.5%	5-19
Ages 25–39, male	80	25.8%	5-19
Ages 25–39, female	55	17.7%	5-19
Ages 40–59, male	30	9.7%	5-19
Ages 40–59, female	25	8.1%	5-19
Ages 5–14, female	10	3.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	820	51.1%	100-499
Completed high school, incomplete higher education	430	26.8%	100-499
Completed higher education	190	11.8%	50-99
Completed elementary, incomplete high school	165	10.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,010	45.9%	100-499
1 to 2 minimum wages	445	20.2%	100-499
¼ to ½ minimum wage	350	15.9%	100-499
More than 2 minimum wages	300	13.6%	100-499
Up to ¼ of a minimum wage	90	4.1%	20-49
Other / suppressed	5	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	350	17.1%	100-499
Ages 40–59, male	340	16.6%	100-499
Ages 60 and over, male	305	14.9%	100-499
Ages 60 and over, female	270	13.2%	100-499
Ages 25–39, female	180	8.8%	50-99
Ages 25–39, male	165	8.0%	50-99
Ages 5–14, female	130	6.3%	50-99
Ages 15–24, male	110	5.4%	50-99
Ages 5–14, male	110	5.4%	20-49
Ages 15–24, female	90	4.4%	20-49

Commuting (work and study)

Commuting indicators for Ivolândia/GO
Employed persons (aged 10 and over)	1,215
Commute out to work in another municipality	70
Commute in from another municipality to work here	105
Net commuting	+35
Out-commuting rate (%)	5.75
Commuting attraction index	1.018
Median commuting time	30 min

Open Ivolândia/GO 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]: Ivolândia/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ivolandia-go-5211602/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.