Migration in Diorama/GO (2017–2022)

Diorama/GO had a reference population (aged 5 or over in 2022) of 1,945 people. In the 2017–2022 five-year period, the municipality received 225 in-migrants and lost 300 out-migrants to other municipalities in Brazil, resulting in a net migration of −70 people (−37.06 per 1,000 population) and a migration effectiveness index (IEM) of −0.137. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Diorama/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	225	162 to 288	good
Out-migrants	300	158 to 442	use with caution
Net migration	−70	−226 to 86	not classified
Net migration rate, TLM (per 1,000 pop.)	−37.06	-	-
Migration effectiveness index (IEM)	−0.137	-	-

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 Diorama/GO
Origin	People	Precision
Iporá/GO · view pair in the atlas	80	use with caution
Montes Claros de Goiás/GO · view pair in the atlas	25	low precision
Rio Verde/GO · view pair in the atlas	20	low precision
Arenópolis/GO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Diorama/GO
Destination	People	Precision
Iporá/GO · view pair in the atlas	100	low precision
Montes Claros de Goiás/GO · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	125	55.6%	50-99
First move from municipality of birth	85	37.8%	20-49
Return to municipality of birth	15	6.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	56.2%	20-49
Completed high school, incomplete higher education	30	18.8%	5-19
Completed elementary, incomplete high school	25	15.6%	5-19
Completed higher education	15	9.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	110	48.9%	50-99
¼ to ½ minimum wage	50	22.2%	20-49
1 to 2 minimum wages	40	17.8%	20-49
Up to ¼ of a minimum wage	20	8.9%	5-19
Other / suppressed	5	2.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	40	17.8%	20-49
Ages 40–59, female	40	17.8%	20-49
Ages 25–39, female	30	13.3%	5-19
Ages 25–39, male	25	11.1%	5-19
Ages 15–24, female	20	8.9%	5-19
Ages 15–24, male	20	8.9%	5-19
Ages 5–14, female	15	6.7%	5-19
Ages 60 and over, male	15	6.7%	5-19
Ages 60 and over, female	10	4.4%	5-19
Ages 5–14, male	10	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	150	49.2%	20-49
Return to municipality of birth	85	27.9%	5-19
First move from municipality of birth	70	23.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	42.5%	5-19
Completed higher education	50	25.0%	5-19
Completed elementary, incomplete high school	35	17.5%	5-19
Completed high school, incomplete higher education	30	15.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	170	57.6%	20-49
Other / suppressed	45	15.3%	5-19
1 to 2 minimum wages	40	13.6%	5-19
¼ to ½ minimum wage	40	13.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	75	25.4%	5-19
Ages 25–39, male	60	20.3%	5-19
Ages 15–24, female	45	15.3%	5-19
Ages 40–59, female	40	13.6%	5-19
Ages 25–39, female	30	10.2%	5-19
Ages 15–24, male	30	10.2%	5-19
Ages 40–59, male	15	5.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	660	48.9%	100-499
Completed high school, incomplete higher education	375	27.8%	100-499
Completed higher education	165	12.2%	50-99
Completed elementary, incomplete high school	150	11.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	725	39.5%	100-499
1 to 2 minimum wages	515	28.1%	100-499
¼ to ½ minimum wage	285	15.5%	100-499
More than 2 minimum wages	250	13.6%	100-499
Up to ¼ of a minimum wage	55	3.0%	20-49
Other / suppressed	5	0.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	295	17.2%	100-499
Ages 40–59, male	290	16.9%	100-499
Ages 60 and over, male	245	14.3%	100-499
Ages 60 and over, female	235	13.7%	100-499
Ages 25–39, female	140	8.2%	50-99
Ages 25–39, male	135	7.9%	50-99
Ages 5–14, male	100	5.8%	20-49
Ages 15–24, male	95	5.5%	50-99
Ages 15–24, female	90	5.2%	50-99
Ages 5–14, female	90	5.2%	50-99

Commuting (work and study)

Commuting indicators for Diorama/GO
Employed persons (aged 10 and over)	880
Commute out to work in another municipality	45
Commute in from another municipality to work here	25
Net commuting	−20
Out-commuting rate (%)	4.88
Commuting attraction index	0.971
Median commuting time	40 min

Open Diorama/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]: Diorama/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/diorama-go-5207105/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.