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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Mucurici/ES (2017–2022)

Mucurici/ES had a reference population (aged 5 or over in 2022) of 5,105 people. In the 2017–2022 five-year period, the municipality received 565 in-migrants and lost 755 out-migrants to other municipalities in Brazil, resulting in a net migration of −190 people (−37.25 per 1,000 population) and a migration effectiveness index (IEM) of −0.144. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Mucurici/ES, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants565449 to 681good
Out-migrants755491 to 1,019use with caution
Net migration−190−478 to 98not classified
Net migration rate, TLM (per 1,000 pop.)−37.25--
Migration effectiveness index (IEM)−0.144--

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 Mucurici/ES
OriginPeoplePrecision
Nanuque/MG · view pair in the atlas60use with caution
Montanha/ES · view pair in the atlas60low precision
Ponto Belo/ES · view pair in the atlas60low precision
Vitória/ES · view pair in the atlas45low precision
Carlos Chagas/MG · view pair in the atlas40low precision
Linhares/ES · view pair in the atlas35low precision
Pinheiros/ES · view pair in the atlas30low precision
Serra/ES · view pair in the atlas25low precision
São Paulo/SP · view pair in the atlas20low precision
São Mateus/ES · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Mucurici/ES
DestinationPeoplePrecision
Montanha/ES · view pair in the atlas115low precision
São Mateus/ES · view pair in the atlas100low precision
Ponto Belo/ES · view pair in the atlas85low precision
Nanuque/MG · view pair in the atlas75low precision
Pedro Canário/ES · view pair in the atlas60low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration24543.4%50-99
First move from municipality of birth19033.6%50-99
Return to municipality of birth13023.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education13034.7%20-49
No schooling or incomplete elementary12032.0%20-49
Completed higher education9525.3%20-49
Completed elementary, incomplete high school308.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage19534.8%50-99
¼ to ½ minimum wage14525.9%50-99
Up to ¼ of a minimum wage9517.0%20-49
1 to 2 minimum wages8014.3%20-49
More than 2 minimum wages458.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male8514.9%20-49
Ages 25–39, female7513.2%20-49
Ages 40–59, female7513.2%20-49
Ages 40–59, male7513.2%20-49
Ages 15–24, female6010.5%20-49
Ages 5–14, male559.6%5-19
Ages 5–14, female457.9%5-19
Ages 60 and over, female407.0%5-19
Ages 15–24, male356.1%5-19
Ages 60 and over, male254.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration36548.0%20-49
First move from municipality of birth28537.5%20-49
Return to municipality of birth11014.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20051.9%20-49
Completed high school, incomplete higher education9524.7%5-19
Completed elementary, incomplete high school6015.6%5-19
Other / suppressed307.8%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage30040.0%20-49
¼ to ½ minimum wage16522.0%20-49
1 to 2 minimum wages16021.3%20-49
Up to ¼ of a minimum wage9512.7%5-19
Other / suppressed304.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female19025.2%20-49
Ages 40–59, female9512.6%5-19
Ages 25–39, female9011.9%5-19
Ages 15–24, male8511.3%5-19
Ages 40–59, male8010.6%5-19
Ages 25–39, male658.6%5-19
Ages 5–14, male506.6%5-19
Ages 5–14, female506.6%5-19
Ages 60 and over, female405.3%5-19
Other / suppressed101.3%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,66049.2%>=500
Completed high school, incomplete higher education95028.1%100-499
Completed elementary, incomplete high school38511.4%100-499
Completed higher education38011.3%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,62533.2%>=500
¼ to ½ minimum wage1,33027.1%100-499
Up to ¼ of a minimum wage81516.6%100-499
1 to 2 minimum wages79516.2%100-499
More than 2 minimum wages3356.8%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male72015.9%100-499
Ages 40–59, female70515.5%100-499
Ages 60 and over, female52011.5%100-499
Ages 60 and over, male50511.1%100-499
Ages 25–39, female46510.2%100-499
Ages 25–39, male45510.0%100-499
Ages 15–24, male3207.0%50-99
Ages 5–14, male3006.6%100-499
Ages 15–24, female2906.4%50-99
Ages 5–14, female2605.7%50-99

Commuting (work and study)

Commuting indicators for Mucurici/ES
Employed persons (aged 10 and over)2,265
Commute out to work in another municipality280
Commute in from another municipality to work here210
Net commuting−70
Out-commuting rate (%)12.38
Commuting attraction index0.932
Median commuting time30 min

Open Mucurici/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]: Mucurici/ES. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mucurici-es-3203601/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.