Statistics on the usage of information and communication technologies 2026
Sector: Government • Location: Belgium
Source: EU Funding & Tenders Portal
ICTENT We expect to obtain accurate, reliable and representative results for the 2 submodules in the call proposal (submodule 1.1 and 1.3). We expect that the estimated standard error shall not exceed 2% points for the overall proportions and shall not exceed 5% points for the proportions relating to the different breakdowns for the national aggregates. ICTHH We expect to obtain accurate, reliable
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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 | ICTENT We expect to obtain accurate, reliable and representative results for the 2 submodules in the call proposal (submodule 1.1 and 1.3). We expect that the estimated standard error shall not exceed 2% points for the overall proportions and shall not exceed 5% points for the proportions relating to the different breakdowns for the national aggregates. ICTHH We expect to obtain accurate, reliable and representative results for the 4 submodules in the call proposal. For the optional socio-demographic background information, the technical variable ‘region of residence’ at NUTS 2 level we will derive this information from the LFS survey to which the ICTHH is linked (only respondents to the LFS survey (Labour Force Survey) will be invited to fill in the ICTHH survey). We will also include all optional variables in our ICTHH survey. We will extend the age range to include individuals aged 75 to 89, the sample will be enlarged to obtain a sufficient large number of people. In the 2024 survey we already ran a pilot with satisfactory results. |
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 |
