Action plan regarding new/amended variables in the 2026 and 2027 modules in the Swedish SILC
Sector: Government • Location: Sweden
Source: EU Funding & Tenders Portal
In 2026, EU-SILC will include new/amended variables in the 3-yearly module on ‘Labour market and housing’ and the 6-yearly module ‘Over-indebtedness, consumption, and wealth’. In 2027, EU-SILC will include an ad hoc subject on ‘Mental health and wellbeing’. This ad hoc module includes 20 new/amended variables that will be collected for first time in EU-SILC. The project will include preparation ac
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | In 2026, EU-SILC will include new/amended variables in the 3-yearly module on ‘Labour market and housing’ and the 6-yearly module ‘Over-indebtedness, consumption, and wealth’. In 2027, EU-SILC will include an ad hoc subject on ‘Mental health and wellbeing’. This ad hoc module includes 20 new/amended variables that will be collected for first time in EU-SILC. The project will include preparation activities regarding the new/amended variables in EU-SILC 2027 and contribute to implement the new/amended variables in the ad hoc subject on ‘Mental health and wellbeing’ in the Swedish EU-SILC data collection in 2027. The project will also include monitoring of telephone interviews regarding the new/amended variables in EU-SILC 2026 as well as processing and transmission of Swedish micro data from EU-SILC 2026 of the new/amended variables in the module on ‘Labour market and housing’ and the module ‘Over-indebtedness, consumption, and wealth’. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |