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

Migration in Aurora/CE (2017–2022)

Aurora/CE had a reference population (aged 5 or over in 2022) of 22,240 people. In the 2017–2022 five-year period, the municipality received 915 in-migrants and lost 1,200 out-migrants to other municipalities in Brazil, resulting in a net migration of −280 people (−12.65 per 1,000 population) and a migration effectiveness index (IEM) of −0.133. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Aurora/CE, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants915633 to 1,197use with caution
Out-migrants1,200912 to 1,488good
Net migration−280−683 to 123not classified
Net migration rate, TLM (per 1,000 pop.)−12.65--
Migration effectiveness index (IEM)−0.133--

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Aurora/CE
OriginPeoplePrecision
Juazeiro do Norte/CE · view pair in the atlas135low precision
Fortaleza/CE · view pair in the atlas100low precision
São Paulo/SP · view pair in the atlas80low precision
Lavras da Mangabeira/CE · view pair in the atlas50low precision
Top 10 destinations of out-migrants from Aurora/CE
DestinationPeoplePrecision
Juazeiro do Norte/CE · view pair in the atlas350use with caution
Lavras da Mangabeira/CE · view pair in the atlas80low precision
Óleo/SP · view pair in the atlas50low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth51055.4%20-49
First move from municipality of birth26028.3%20-49
Multi-step migration15016.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary27542.0%20-49
Completed high school, incomplete higher education17526.7%5-19
Completed elementary, incomplete high school11016.8%5-19
Completed higher education9514.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage31534.2%20-49
Up to ¼ of a minimum wage25527.7%20-49
½ to 1 minimum wage19521.2%5-19
More than 2 minimum wages13014.1%5-19
Other / suppressed252.7%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female16518.0%5-19
Ages 25–39, male13514.8%5-19
Ages 25–39, female13514.8%5-19
Ages 40–59, male13014.2%5-19
Other / suppressed10511.5%5-19
Ages 15–24, male9510.4%5-19
Ages 5–14, female9510.4%5-19
Ages 60 and over, male556.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth88073.3%100-499
Return to municipality of birth17014.2%5-19
Multi-step migration15012.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary30539.4%20-49
Completed high school, incomplete higher education22529.0%20-49
Completed higher education15019.4%5-19
Completed elementary, incomplete high school9512.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage40033.3%50-99
¼ to ½ minimum wage24520.4%20-49
Up to ¼ of a minimum wage23019.2%20-49
1 to 2 minimum wages23019.2%20-49
More than 2 minimum wages554.6%5-19
Other / suppressed403.3%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female26021.7%20-49
Ages 25–39, male22018.3%20-49
Ages 15–24, female19516.2%20-49
Ages 15–24, male12510.4%5-19
Ages 40–59, male1109.2%5-19
Ages 40–59, female756.2%5-19
Ages 5–14, male756.2%5-19
Ages 60 and over, male605.0%5-19
Ages 60 and over, female554.6%5-19
Other / suppressed252.1%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary9,42563.1%>=500
Completed high school, incomplete higher education2,78018.6%100-499
Completed elementary, incomplete high school1,69511.3%100-499
Completed higher education1,0356.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage7,60533.4%>=500
½ to 1 minimum wage6,41528.1%>=500
¼ to ½ minimum wage6,13526.9%>=500
1 to 2 minimum wages2,1809.6%100-499
More than 2 minimum wages4602.0%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, female2,95513.9%100-499
Ages 40–59, male2,90513.6%100-499
Ages 25–39, female2,47011.6%100-499
Ages 25–39, male2,43011.4%100-499
Ages 60 and over, female2,17010.2%100-499
Ages 60 and over, male2,0009.4%100-499
Ages 15–24, male1,6607.8%100-499
Ages 15–24, female1,6607.8%100-499
Ages 5–14, male1,6057.5%100-499
Ages 5–14, female1,4706.9%100-499

Commuting (work and study)

Commuting indicators for Aurora/CE
Employed persons (aged 10 and over)5,820
Commute out to work in another municipality440
Commute in from another municipality to work here225
Net commuting−220
Out-commuting rate (%)7.57
Commuting attraction index0.937
Median commuting time60 min

Open Aurora/CE 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]: Aurora/CE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/aurora-ce-2301703/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.