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At the regional level (NUTS II) the differences between the 2017 Resident Population Database and the official Resident Population Estimates for the same year vary between -1.87% and 0.64%.

RESIDENT POPULATION BY NUTS II 2017:
DIFFERENCE BETWEEN RESIDENT POPULATION DATABASE AND OFFICIAL RESIDENT POPULATION ESTIMATES, %.


DIFFERENCE BETWEEN RESIDENT POPULATION DATABASE AND
OFFICIAL RESIDENT POPULATION ESTIMATES Source: INE, I.P., Estimativas da População Residente, 2017; Base de População Residente, 2017.

The results of the Resident Population Database are also promising at the municipality level: for 2017, more than 76% of 308 municipalities present levels of under or over coverage, when comparing to the official Resident Population Estimates, lower than 5%; it should be noted that in 77 municipalities, the relative differences vary between -1% and 1%. Only a small number of municipalities (10) show relative differences greater than 10% (higher or lower).



RESIDENT POPULATION BY MUNICIPALITY 2017:
DIFFERENCE BETWEEN RESIDENT POPULATION DATABASE AND OFFICIAL RESIDENT POPULATION ESTIMATES, %.

DIFFERENCE BETWEEN RESIDENT POPULATION DATABASE AND OFFICIAL RESIDENT POPULATION ESTIMATES

Source: INE, I.P., Estimativas da População Residente, 2017; Base de População Residente, 2017.

Combined with the geographical distribution, the Resident Population Database already captures part of the demographic and socioeconomic dimensions. For example, the differences in the age structures of the resident population from these statistical studies are negligible for most age groups.

POPULATION BY AGE GROUP AND GENDER, 2017:
RESIDENT POPULATION DATABASE AND OFFICIAL RESIDENT POPULATION ESTIMATES


POPULATION BY AGE GROUP AND GENDER, 2017 - RESIDENT POPULATION DATABASE AND OFFICIAL RESIDENT POPULATION ESTIMATES

Source: INE, I.P., Estimativas da População Residente, 2017; Base de População Residente, 2017.

CENSUS VARIABLES AVAILABLE IN THE RESIDENT POPULATION DATABASE


CENSUS VARIABLES AVAILABLE IN THE RESIDENT POPULATION DATABASE
 

FINAL CONSIDERATIONS AND FUTURE DEVELOPMENTS
The set of administrative information currently integrated in the Resident Population Database has a high potential for the transition to a registered-based census model. However, several critical areas have been identified that make the immediate transition to an administrative model unfeasible in the 2021 Censuses:
  • Access to all the administrative information required for the Census;
  • Total coverage in all mandatory census variables;
  • Information on family structures and housing;
  • Dissemination to some geographical levels (Grid 1Km2).
The availability of administrative data is still incomplete, either due to the need for formal access protocols, or due to information that needs to be derived from the raw microdata. The case of family structures is paradigmatic, in which it is necessary to ensure access to data concerning affiliation relationships and subsequent treatment in order to apply the concepts of household and family nucleus.

It will also be necessary to analyze and treat the addresses and, through the geo-referencing of buildings, develop a 2 solution for the dissemination of population statistics by a geographical grid of 1Km

The Census with administrative data project is a strategic line of work for Statistics Portugal, capable of meeting the requirements of official statistical information. Ultimately, there will even be a continuous census that can be updated in an infra-annual period, provided that administrative sources allow such frequency.

The Resident Population Database provides an information structure that when integrated with additional data, for example on income and housing, will allow the creation of new statistical indicators and expand the possibilities of analysis (e.g., the incidence of poverty or of school dropout), with greater geographical, demographic and socio-economic detail.

INTEGRATION OF INFORMATION ON INDIVIDUALS, HOUSEHOLDS AND HOUSING


INTEGRATION OF INFORMATION ON INDIVIDUALS,
HOUSEHOLDS AND HOUSING

Acknowledgments
Statistics Portugal thanks the Public Administration Entities that contribute with administrative data and make possible the implementation of this project, essential for the modernization of the National Statistical System