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

Migration in Alto Piquiri/PR (2017–2022)

Alto Piquiri/PR had a reference population (aged 5 or over in 2022) of 9,085 people. In the 2017–2022 five-year period, the municipality received 575 in-migrants and lost 865 out-migrants to other municipalities in Brazil, resulting in a net migration of −290 people (−31.96 per 1,000 population) and a migration effectiveness index (IEM) of −0.201. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Alto Piquiri/PR, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants575410 to 740good
Out-migrants865613 to 1,117good
Net migration−290−591 to 11not classified
Net migration rate, TLM (per 1,000 pop.)−31.96--
Migration effectiveness index (IEM)−0.201--

Sample of in-migrants: 100-499 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 Alto Piquiri/PR
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas50low precision
Umuarama/PR · view pair in the atlas45low precision
Maceió/AL · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Alto Piquiri/PR
DestinationPeoplePrecision
Umuarama/PR · view pair in the atlas280low precision
Brasilândia do Sul/PR · view pair in the atlas85low precision
Assis Chateaubriand/PR · view pair in the atlas75low precision
Perobal/PR · view pair in the atlas50low precision
Iporã/PR · view pair in the atlas25low precision
Cafezal do Sul/PR · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration26044.8%50-99
First move from municipality of birth20034.5%20-49
Return to municipality of birth12020.7%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14540.8%20-49
Completed high school, incomplete higher education12033.8%20-49
Completed elementary, incomplete high school5515.5%5-19
Completed higher education359.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage29050.4%50-99
1 to 2 minimum wages13523.5%20-49
¼ to ½ minimum wage7012.2%5-19
More than 2 minimum wages6511.3%5-19
Other / suppressed152.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male8514.8%5-19
Ages 25–39, female8013.9%5-19
Ages 40–59, female7012.2%5-19
Ages 15–24, female6511.3%5-19
Ages 15–24, male6010.4%5-19
Ages 5–14, female508.7%5-19
Ages 5–14, male457.8%5-19
Ages 60 and over, male457.8%5-19
Ages 40–59, male457.8%5-19
Ages 60 and over, female305.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration38544.5%50-99
First move from municipality of birth36041.6%50-99
Return to municipality of birth12013.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary18036.7%20-49
Completed high school, incomplete higher education14529.6%20-49
Completed elementary, incomplete high school13527.6%20-49
Completed higher education306.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage40546.8%50-99
1 to 2 minimum wages17520.2%20-49
¼ to ½ minimum wage17019.7%20-49
More than 2 minimum wages9511.0%5-19
Other / suppressed202.3%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female13515.5%20-49
Ages 25–39, male12013.8%20-49
Ages 25–39, female11513.2%20-49
Ages 15–24, male11012.6%5-19
Ages 40–59, female9010.3%5-19
Ages 5–14, female859.8%5-19
Ages 40–59, male606.9%5-19
Ages 60 and over, female505.7%5-19
Ages 5–14, male505.7%5-19
Ages 60 and over, male404.6%5-19
Other / suppressed151.7%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,61058.6%>=500
Completed elementary, incomplete high school1,04517.0%100-499
Completed high school, incomplete higher education89014.4%100-499
Completed higher education61510.0%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,78041.3%>=500
1 to 2 minimum wages1,81519.8%100-499
¼ to ½ minimum wage1,72018.8%100-499
Up to ¼ of a minimum wage1,13512.4%100-499
More than 2 minimum wages6757.4%100-499
Not applicable (collective dwelling)200.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,31015.4%100-499
Ages 40–59, female1,27515.0%100-499
Ages 60 and over, female96011.3%100-499
Ages 25–39, female90010.6%100-499
Ages 25–39, male86510.2%100-499
Ages 60 and over, male85010.0%100-499
Ages 15–24, male6157.2%100-499
Ages 5–14, male6157.2%100-499
Ages 5–14, female5656.6%100-499
Ages 15–24, female5506.5%100-499

Commuting (work and study)

Commuting indicators for Alto Piquiri/PR
Employed persons (aged 10 and over)3,185
Commute out to work in another municipality940
Commute in from another municipality to work here75
Net commuting−865
Out-commuting rate (%)29.48
Commuting attraction index0.694
Median commuting time105 min

This municipality is part of Região Metropolitana de Umuarama → see the metropolitan region page

Open Alto Piquiri/PR 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]: Alto Piquiri/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alto-piquiri-pr-4100707/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.