Avenida de Manoteras 50-52 - 28050 Madrid
The EMN offers rapid estimates on the number of births occuring each month using the entries registered in the computerized Civil Registries.
These statistics offer information that is disaggregated by autonomous community and province.
Comunidades Autonomas:
01 Andalucia
02 Aragon
03 Asturias, Principado de
04 Balears, Illes
05 Canarias
06 Cantabria
07 Castilla y Leon
08 Castilla - La Mancha
09 Cataluña
10 Comunitat Valenciana
11 Extremadura
12 Galicia
13 Madrid, Comunidad de
14 Murcia, Region de
15 Navarra, Comunidad Foral de
16 Pais Vasco
17 Rioja, La
18 Ceuta
19 Melilla
No residente
Provincias:
02 Albacete
03 Alicante/Alacant
04 Almeria
01 Araba/Álava
33 Asturias
05 Ávila
06 Badajoz
07 Balears, Illes
08 Barcelona
48 Bizkaia
09 Burgos
10 Caceres
11 Cadiz
39 Cantabria
12 Castellon/Castello
13 Ciudad Real
14 Cordoba
15 Coruña, A
16 Cuenca
20 Gipuzkoa
17 Girona
18 Granada
19 Guadalajara
21 Huelva
22 Huesca
23 Jaen
24 Leon
25 Lleida
27 Lugo
28 Madrid
29 Malaga
30 Murcia
31 Navarra
32 Ourense
34 Palencia
35 Palmas, Las
36 Pontevedra
26 Rioja, La
37 Salamanca
38 Santa Cruz de Tenerife
40 Segovia
41 Sevilla
42 Soria
43 Tarragona
44 Teruel
45 Toledo
46 Valencia/València
47 Valladolid
49 Zamora
50 Zaragoza
51 Ceuta
52 Melilla
No residente
It collects births occuring in Spain, regardless of whether the population is resident or non-resident
The basic statistical unit is birth.
The population under study are births in Spain.
The statistics cover the whole of the national territory. Disaggregated data at the Autonomous Community and province level is published.
Monthly Statistics of Births disseminate data from January 2013, although it has been ruled and included in the Inventory of statistical operations in 2022. However, there are birth results published in the Birth Statistics included in Natural Movement of the Population since 1900 on an annual basis.
Year 1975
The data is published:
Data referring to the period: Monthly Y: 2026 MONTH: 01
The compilation and dissemination of the data are governed by the Statistical Law No. 12/1989 "Public Statistical Function" of May 9, 1989, and Law No. 4/1990 of June 29 on “National Budget of State for the year 1990" amended by Law No. 13/1996 "Fiscal, administrative and social measures" of December 30, 1996, makes compulsory all statistics included in the National Statistics Plan. The National Statistical Plan 2009-2012 was approved by the Royal Decree 1663/2008. It contains the statistics that must be developed in the four year period by the State General Administration's services or any other entity dependent on it. All statistics included in the National Statistics Plan are statistics for state purposes and are obligatory. The National Statistics Plan 2025-2028, approved by Royal Decree 1225/2024, of 3 December, is the Plan currently implemented. This statistical operation has governmental purposes, and it is included in the National Statistics Plan 2025-2028. (Statistics of the State Administration).
There are no planned exchanges of information with other statistics producing organizations.
The Statistical Law No. 12/1989 specifies that the INE cannot publish, or make otherwise available, individual data or statistics that would enable the identification of data for any individual person or entity. Regulation (EC) No 223/2009 on European statistics stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society
The advance release calendar that shows the precise release dates for the coming year is disseminated in the last quarter of each year.
The calendar is disseminated on the INEs Internet website (Publications Calendar)
The data are released simultaneously according to the advance release calendar to all interested parties by issuing the press release. At the same time, the data are posted on the INE's Internet website (www.ine.es/en) almost immediately after the press release is issued. Also some predefined tailor-made requests are sent to registered users. Some users could receive partial information under embargo as it is publicly described in the European Statistics Code of Practice
The frequency of dissemination is monthly.
The results of the statistical operations are normally disseminated by using press releases that can be accessed via both the corresponding menu and the Press Releases Section in the web
The results of these statistics are disseminated through the INE website, and certain results are collected in publications such as INE Figures, etc.
INEbase is the system the INE uses to store statistical information on the Internet. It contains all the information the INE produces in electronic formats. The primary organisation of the information follows the theme-based classification of the Inventory of Statistical Operations of the State General Administration . The basic unit of INEbase is the statistical operation, defined as the set of activities that lead to obtaining statistical results on a determined sector or subject based on the individually collected data. Also included in the scope of this definition are synthesis preparation.
No. of queries to data tables AC1=78,911
No. of queries to metadata AC2=871
You can access the anonymized microdata of the Birth Statistics up to the last year published. Microdata for estimated data are not available.
Through the INE User Service Area, interested users can request specific exploitation of information, while preserving the confidentiality of the data and signing the corresponding agreement or document.
Watch:
The methodology document can be accessed at the following link:
https://www.ine.es/en/metodologia/t20/meto_emn_en.pdf
AC3 = 100%
Sections 10.6 to 17 of this document are considered the user-oriented quality report for this operation.
Quality assurance framework for the INE statistics is based on the ESSCoP, the European Statistics Code of Practice made by EUROSTAT. The ESSCoP is made up of 16 principles, gathered in three areas: Institutional Environment, Processes and Products. Each principle is associated with some indicators which make possible to measure it. In order to evaluate quality, EUROSTAT provides different tools: the indicators mentioned above, Self-assessment based on the DESAP model, peer review, user satisfaction surveys and other proceedings for evaluation.
To ensure the quality of this statistics derived from administrative records, comprehensive checks are implemented across all phases of the process. Particular emphasis is placed on verifying the validity of variable values, eliminating duplicates, and ensuring consistency in the received information.
In order to manage the quality of these statistics, exhaustive controls are carried out during all process phases. Special emphasis is placed on controlling coverage, assuring that the values of the variables are valid and making sure that there are no inconsistencies in the information received.
The information is of high quality, as it is based on data recorded by the Civil Registries through the DICIREG application of the Secretariat of State for Justice. Following its full rollout across the entire national territory in August 2025, the system has ensured that all births are recorded, resulting in a high degree of stability in the data.
A strong point of these statistics is the great speed in providing reliable information on the number of births.
Users of this statistic include:
Each of these users has different needs depending on the destination and usefulness of the information they require. In particular:
With the rollout of DICIREG across the entire national territory, the following general needs have been addressed:
However, an outstanding unmet need remains: the lack of greater data disaggregation, which would allow for the analysis of more complex or more specific sociodemographic patterns. To address this issue, work is underway to expand the number of available variables and to offer a higher level of data disaggregation, enabling users to access more detailed and timely information.
The INE has carried out general user satisfaction surveys in 2007, 2010, 2013, 2016 and 2019 and it plans to continue doing so every three years. The purpose of these surveys is to find out what users think about the quality of the information of the INE statistics and the extent to which their needs of information are covered. In addition, additional surveys are carried out in order to acknowledge better other fields such as dissemination of the information, quality of some publications...
On the INE website, in its section Methods and Projects / Quality and Code of Practice / INE quality management / User surveys are available surveys conducted to date.(Click next link)
Not applicable.
The information collected allows us to attend to all requests received.
The data completeness rate is 100%.
R1=100%.
The monthly birth estimation prepared by the INE complies with several regulations and standards that guide the collection, processing, and dissemination of statistical data. These include:
By complying with these regulations, guidelines, and directives, the INE ensures that the monthly birth estimation is consistent, accurate, and of high quality, making it suitable for both national and international use.
The quality of data recording in Civil Registries, error correction, data validation, imputation of the lack of information or adjustments for delays in information reception allow for a high degree of reliability of the statistics.
The main sources of errors can be both random and systematic, and their impact may vary depending on the nature and occurrence of the error. Below are the main sources of error and their potential impact on the key statistical results:
Errors in birth reporting:
Coding errors in the database:
Estimation of births in rural or hard-to-reach areas:
Underreporting of births in areas with administrative challenges:
Systematic delays in data transmission:
Errors in imputing missing data:
Errors in birth categorization:
Accuracy of monthly estimates: Random errors typically affect the monthly birth estimates in a less significant way, causing minor variations in the results that tend to balance out over time. However, systematic errors can have a more lasting impact and affect the reliability of the estimates continuously, making it more difficult to obtain accurate birth figures for certain periods.
Comparability with other statistics: Systematic errors may cause the monthly estimates to be less comparable with data from previous years or with other statistical systems, especially if there are issues with birth registration or data transmission.
Reliability for decision-making: If systematic errors are not addressed properly, this can affect users’ confidence in the statistics, especially in cases where the data is used for public policy planning, health, and education.
In summary, while random errors in birth estimation tend to have a smaller impact and are compensated over time, systematic errors can lead to significant biases that affect the quality and accuracy of birth statistics. It is essential to identify and correct these errors to ensure the reliability of the results.
Since it is a statistic based on administrative records, there are no sampling errors.
Births registered in the Civil Registries and recorded through the DICIREG applications of the Secretariat of State for Justice represent 100% of births in Spain, as all Civil Registries across the national territory have been fully computerised.
A4=0%.
The non-sampling errors affecting the statistical operation include the following key aspects:
Monthly, in month m, data for month m-2 are published.
As provisional and definitive data on birth statistics (Natural Population Movement) based on Birth Statistics Bulletin documents become available, estimates will be replaced by definitive data. Thus, data on births that occurred in 2025 are considered definitive from November 2026.
TP1: 45 days
TP2: 11 months
Data dissemination is carried out in accordance with the statistics availability calendar prepared and published each year by the INE.
TP3 = 100%
Under-registration coefficients are calculated and applied according to the province of registration.
Until May 2024, the estimated data were published according to province of registration. However, as of this date, the estimated data are published according to province of residence in order to improve the comparability of the provisional data with the definitive data from previous years.
On occasions, the residence of the pregnant mother is not always well informed in DICIREG, so in these cases, the province of residence has been imputed according to the place where the registration was made.
The statistics are comparable throughout the period. There has been no methodological break
CC2 = 155 months
This statistic is consistent with the Birth Statistics.
The coherence between the variables is contrasted in all phases of the statistical process.
As a statistic based on an administrative record, there is no additional burden to the informants.
The estimate of the budget credit necessary to finance the Monthly Birth Statistics provided for in the 2025 Annual Program is 45.63 thousand euros.
To increase production efficiency, the complete computerization of civil registries, the improvement of interoperability between the different databases and the improvement of predictive statistical models will be of great help.
The INE of Spain has a policy which regulates the basic aspects of statistical data revision, seeking to ensure process transparency and product quality. This policy is laid out in the document approved by the INE board of directors on 13 March of 2015, which is available on the INE website, in the section "Methods and projects/Quality and Code of Practice/INE’s Quality management/INE’s Revision policy" (link).
This general policy sets the criteria that the different type of revisions should follow: routine revision- it is the case of statistics whose production process includes regular revisions-; more extensive revision- when methodological or basic reference source changes take place-; and exceptional revision- for instance, when an error appears in a published statistic-.
The revision policy for the Monthly Birth Estimation statistical operation focuses on ensuring the quality and reliability of the provided data, guaranteeing its accuracy throughout the data collection, estimation, and updating process. The main aspects of this revision policy are:
This revision policy aims to ensure that the Monthly Birth Estimation is as accurate, complete, and up-to-date as possible, providing high-quality data for use in demographic analysis and other statistical reports.
Two types of data coexist in the project:
Estimated data are reviewed and updated in each monthly publication.
A6-RMAR=0.22%
Calculated based on the total of the last 12 months
The original source of the data is birth registrations in the Civil Registries. For several years, the Secretariat of State for Justice has promoted the progressive computerisation of Civil Registries through specific applications such as INFOREG and DICIREG, which are used to record the different types of registry entries, including births. Although these applications were not implemented uniformly across the entire territory, their use has for many years ensured broad and stable coverage. In this context, the EMN statistics incorporated a method to estimate the total number of births based on the available computerised registry records.
Since October 2021, INFOREG has gradually been replaced by DICIREG, with the rollout completed in August 2025.
The INE receives a monthly file, on the first working day of each month, which includes all births recorded up to the previous day.
To carry out these statistics, information is obtained from:
Multiple analyses of data evolution coherence are carried out
First, at the INE, the receipt, reading, and processing of the files received from the Secretariat of State for Justice through DICIREG are verified. Subsequently, data cleaning and validation are carried out. The data are updated and corrected with each new release of results.
The last stage before information dissemination is aimed at analyzing the aggregate information and verifying the consistency of the information offered.
Quality Indicator 'Imputation rate' A7=0%.
No seasonal adjustments are applied.