Migration in Hidrolina/GO (2017–2022)

Hidrolina/GO had a reference population (aged 5 or over in 2022) of 3,375 people. In the 2017–2022 five-year period, the municipality received 175 in-migrants and lost 375 out-migrants to other municipalities in Brazil, resulting in a net migration of −200 people (−59.57 per 1,000 population) and a migration effectiveness index (IEM) of −0.363. 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 Hidrolina/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	175	107 to 243	use with caution
Out-migrants	375	194 to 556	use with caution
Net migration	−200	−394 to −6	not classified
Net migration rate, TLM (per 1,000 pop.)	−59.57	-	-
Migration effectiveness index (IEM)	−0.363	-	-

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 Hidrolina/GO
Origin	People	Precision
Goianésia/GO · view pair in the atlas	35	low precision
Pilar de Goiás/GO · view pair in the atlas	30	low precision
Anápolis/GO · view pair in the atlas	15	low precision
Uruaçu/GO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Hidrolina/GO
Destination	People	Precision
São Luiz do Norte/GO · view pair in the atlas	55	low precision
Nova Iguaçu de Goiás/GO · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	110	62.9%	20-49
First move from municipality of birth	45	25.7%	5-19
Return to municipality of birth	20	11.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	45	37.5%	5-19
Completed high school, incomplete higher education	40	33.3%	5-19
Completed higher education	20	16.7%	5-19
Completed elementary, incomplete high school	15	12.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	70	40.0%	20-49
¼ to ½ minimum wage	60	34.3%	20-49
Other / suppressed	25	14.3%	5-19
More than 2 minimum wages	20	11.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	50	27.8%	5-19
Ages 40–59, male	40	22.2%	5-19
Ages 25–39, female	35	19.4%	5-19
Ages 15–24, female	25	13.9%	5-19
Ages 25–39, male	20	11.1%	5-19
Ages 15–24, male	10	5.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	225	60.0%	20-49
First move from municipality of birth	100	26.7%	20-49
Return to municipality of birth	50	13.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	55	29.7%	5-19
Completed high school, incomplete higher education	50	27.0%	5-19
Completed elementary, incomplete high school	40	21.6%	5-19
Completed higher education	40	21.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	130	34.2%	5-19
½ to 1 minimum wage	125	32.9%	20-49
1 to 2 minimum wages	80	21.1%	5-19
Up to ¼ of a minimum wage	35	9.2%	5-19
Other / suppressed	10	2.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	75	19.7%	5-19
Ages 25–39, male	60	15.8%	5-19
Ages 15–24, female	60	15.8%	5-19
Ages 15–24, male	50	13.2%	5-19
Ages 5–14, male	40	10.5%	5-19
Ages 5–14, female	35	9.2%	5-19
Other / suppressed	30	7.9%	5-19
Ages 40–59, female	30	7.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,180	49.1%	100-499
Completed high school, incomplete higher education	585	24.3%	100-499
Completed elementary, incomplete high school	410	17.0%	100-499
Completed higher education	230	9.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,515	45.0%	100-499
1 to 2 minimum wages	765	22.7%	100-499
¼ to ½ minimum wage	595	17.7%	100-499
More than 2 minimum wages	310	9.2%	100-499
Up to ¼ of a minimum wage	180	5.3%	50-99
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	510	16.0%	100-499
Ages 40–59, female	500	15.6%	100-499
Ages 60 and over, male	410	12.8%	100-499
Ages 60 and over, female	410	12.8%	100-499
Ages 25–39, male	290	9.1%	100-499
Ages 25–39, female	285	8.9%	50-99
Ages 15–24, male	210	6.6%	50-99
Ages 5–14, male	205	6.4%	50-99
Ages 5–14, female	195	6.1%	50-99
Ages 15–24, female	180	5.6%	50-99

Commuting (work and study)

Commuting indicators for Hidrolina/GO
Employed persons (aged 10 and over)	1,425
Commute out to work in another municipality	65
Commute in from another municipality to work here	65
Net commuting	0
Out-commuting rate (%)	4.43
Commuting attraction index	0.993
Median commuting time	60 min

Open Hidrolina/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]: Hidrolina/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/hidrolina-go-5209804/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.