Skip to content
Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Laranja da Terra/ES (2017–2022)

Laranja da Terra/ES had a reference population (aged 5 or over in 2022) of 10,535 people. In the 2017–2022 five-year period, the municipality received 735 in-migrants and lost 400 out-migrants to other municipalities in Brazil, resulting in a net migration of +340 people (32.03 per 1,000 population) and a migration effectiveness index (IEM) of 0.298. 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 Laranja da Terra/ES, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants735556 to 914good
Out-migrants400251 to 549use with caution
Net migration+340107 to 573not classified
Net migration rate, TLM (per 1,000 pop.)32.03--
Migration effectiveness index (IEM)0.298--

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 Laranja da Terra/ES
OriginPeoplePrecision
Afonso Cláudio/ES · view pair in the atlas115use with caution
Santa Maria de Jetibá/ES · view pair in the atlas75low precision
Vila Velha/ES · view pair in the atlas70low precision
Itaguaçu/ES · view pair in the atlas60low precision
Itarana/ES · view pair in the atlas50low precision
Vitória/ES · view pair in the atlas50low precision
Serra/ES · view pair in the atlas40low precision
Cariacica/ES · view pair in the atlas40low precision
Baixo Guandu/ES · view pair in the atlas25low precision
Colatina/ES · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Laranja da Terra/ES
DestinationPeoplePrecision
Afonso Cláudio/ES · view pair in the atlas65low precision
Santa Maria de Jetibá/ES · view pair in the atlas50low precision
Itaguaçu/ES · view pair in the atlas40low precision
Itarana/ES · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration39053.1%50-99
First move from municipality of birth25034.0%20-49
Return to municipality of birth9512.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20040.4%20-49
Completed high school, incomplete higher education17535.4%20-49
Completed elementary, incomplete high school8016.2%5-19
Completed higher education408.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21028.6%20-49
1 to 2 minimum wages21028.6%20-49
¼ to ½ minimum wage15020.4%20-49
More than 2 minimum wages10514.3%20-49
Up to ¼ of a minimum wage608.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13017.8%20-49
Ages 25–39, male10514.4%5-19
Ages 40–59, male8011.0%5-19
Ages 40–59, female709.6%5-19
Ages 15–24, female658.9%5-19
Ages 15–24, male658.9%5-19
Ages 60 and over, female658.9%5-19
Ages 5–14, female608.2%5-19
Ages 5–14, male557.5%5-19
Ages 60 and over, male354.8%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration24060.0%20-49
First move from municipality of birth12531.2%5-19
Return to municipality of birth358.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary9538.0%5-19
Completed high school, incomplete higher education8534.0%5-19
Completed higher education5020.0%5-19
Other / suppressed208.0%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage12532.1%20-49
1 to 2 minimum wages11529.5%5-19
¼ to ½ minimum wage9023.1%5-19
Other / suppressed4010.3%5-19
Up to ¼ of a minimum wage205.1%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed9022.8%5-19
Ages 25–39, female8020.3%5-19
Ages 15–24, female7017.7%5-19
Ages 40–59, female6516.5%5-19
Ages 25–39, male5012.7%5-19
Ages 15–24, male4010.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,64061.1%>=500
Completed high school, incomplete higher education1,49019.6%100-499
Completed elementary, incomplete high school1,02013.4%100-499
Completed higher education4455.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,94038.1%>=500
1 to 2 minimum wages2,68025.9%100-499
¼ to ½ minimum wage2,04019.7%100-499
More than 2 minimum wages8808.5%100-499
Up to ¼ of a minimum wage8057.8%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,63516.7%100-499
Ages 40–59, female1,61016.4%100-499
Ages 60 and over, female1,21512.4%100-499
Ages 60 and over, male1,15011.7%100-499
Ages 25–39, male1,05510.8%100-499
Ages 25–39, female9309.5%100-499
Ages 5–14, male5856.0%100-499
Ages 15–24, female5655.8%100-499
Ages 15–24, male5605.7%100-499
Ages 5–14, female4855.0%50-99

Commuting (work and study)

Commuting indicators for Laranja da Terra/ES
Employed persons (aged 10 and over)6,030
Commute out to work in another municipality225
Commute in from another municipality to work here145
Net commuting−80
Out-commuting rate (%)3.76
Commuting attraction index0.976
Median commuting time52 min

Open Laranja da Terra/ES 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]: Laranja da Terra/ES. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/laranja-da-terra-es-3203163/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.