Results & Indicators
Result | Indicators |
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Impact To promote human development reconciling economic prosperity and efficiency, peaceful societies, social inclusion and environmental responsibility |
SDG 9.b.1. Proportion of medium and high-tech industry value added in total value added (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 9.b.1 (Tier I, custodian agency: UNIDO). The proportion of medium-high and high-tech industry (MHT) value added in total value added of manufacturing (MVA hereafter) is a ratio value between the value added of MHT industry and MVA. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=9&Target=9.b. |
Employment rate, disaggregated by sex, rural/urban, age, disability status and displacement status (Percentage)3>
Data sourceILO STAT data portal, https://ilostat.ilo.org/data/ Additional informationThe employment rate is the percentage of people in the labour force that are employed. Following the ILO definitions: the labour force is the sum of the number of persons employed and the number of persons unemployed. Employment comprises all persons of working age who during a specified brief period, such as one week or one day, were in the following categories: a) paid employment ; or b) self-employment. The unemployed comprise all persons of working age who were: a) without work during the reference period; b) currently available for work; and c) seeking work. |
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Country score according to the Human Development Index (OPSYS core indicator) (Score)3>
Data source
Human Development Index data portal (UNDP), http://www.hdr.undp.org/en/indicators/137506 Additional informationThe Human Development Index (HDI) is a composite statistic (composite index) of life expectancy, education, and per capita income indicators, which are used to rank countries into four tiers of human development. A country scores higher HDI when the lifespan is higher, the education level is higher, and the GDP per capita is higher. |
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Country score according to the Inequality-Adjusted Human Development Index (OPSYS core indicator) (Score)3>
Data sourceInequality-Adjusted Human Development Index data portal (UNDP), http://www.hdr.undp.org/en/indicators/137506 Additional informationThe Inequality-Adjusted Human Development Index (IHDI) combines a country’s average achievements in health, education and income with how those achievements are distributed among country’s population by “discounting” each dimension’s average value according to its level of inequality. Thus, the IHDI is distribution-sensitive average level of HD. Two countries with different distributions of achievements can have the same average HDI value. Under perfect equality the IHDI is equal to the HDI, but falls below the HDI when inequality rises. |
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Country score according to the Gender Inequality Index (OPSYS core indicator) (Score)3>
Data sourceGender Inequality Index data portal (UNDP), http://www.hdr.undp.org/en/indicators/68606 Additional informationThis index measures gender inequalities in three important aspects of human development—reproductive health, measured by maternal mortality ratio and adolescent birth rates; empowerment, measured by proportion of parliamentary seats occupied by females and proportion of adult females and males aged 25 years and older with at least some secondary education; and economic status, expressed as labour market participation and measured by labour force participation rate of female and male populations aged 15 years and older. The GII is built on the same framework as the IHDI—to better expose differences in the distribution of achievements between women and men. It measures the human development costs of gender inequality. Thus the higher the GII value the more disparities between females and males and the more loss to human development. |
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SDG 8.2.1. Annual growth rate of real GDP per employed person (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 8.2.1 (Tier I, custodian agencies: ILO, World Bank, UNSD). Annual growth rate of real GDP per employed person conveys the annual percentage change in real Gross Domestic Product per employed person. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=8&Target=8.2. |
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SDG 8.1.1. Annual growth rate of real GDP per capita (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 8.1.1 (Tier I, custodian agencies: World Bank, UNSD). Annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as the percentage change in the real GDP per capita between two consecutive years. Real GDP per capita is calculated by dividing GDP at constant prices by the population of a country or area. The data for real GDP are measured in constant US dollars to facilitate the calculation of country growth rates and aggregation of the country data. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=8&Target=8.1. |
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SDG 9.5.1. Research and development expenditure as a proportion of GDP (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 9.5.1 (Tier I, custodian agency: UNESCO-UIS). Research and development (R&D) expenditure as a proportion of Gross Domestic Product (GDP) is the amount of R&D expenditure divided by the total output of the economy. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=9&Target=9.5. |
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SDG 9.4.1. CO2 emission per unit of value added (kg/$) (OPSYS core indicator) (Kilogrammes of CO2 per constant 2010 United States dollars (kg/$))3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG Indicator 9.4.1. Tier I. Carbon dioxide (CO2) emissions per unit value added is an indicator computed as ratio between CO2 emissions from fuel combustion and the value added of associated economic activities. The indicator can be computed for the whole economy (total CO2 emissions/GDP) or for specific sectors, notably the manufacturing sector (CO2 emissions from manufacturing industries per manufacturing value added - MVA). CO2 emissions per unit of GDP are expressed in kilogrammes of CO2 per USD constant 2010 PPP GDP. CO2 emissions from manufacturing industries per unit of MVA are measured in kilogrammes of CO2 equivalent per unit of MVA in constant 2015 USD. Carbon emission per unit of value added is a universal indicator for measuring the impact of industrial production on environment. It captures the intensity of energy use, energy efficiency of production technology and most importantly use of fossil fuels. According to the UNIDO definition used for SDG indicator 9.4.1., carbon emission is estimated from the data on energy consumption. For more detail, please see : https://unstats.un.org/sdgs/metadata/?Text=&Goal=9&Target=9.4. |
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SDG 9.4.1. CO2 emission per unit of value added (MVA) (OPSYS core indicator) (Kilogrammes of CO2 equivalent per unit of MVA in constant 2015 USD )3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG Indicator 9.4.1. Tier I. Carbon dioxide (CO2) emissions per unit value added is an indicator computed as ratio between CO2 emissions from fuel combustion and the value added of associated economic activities. The indicator can be computed for the whole economy (total CO2 emissions/GDP) or for specific sectors, notably the manufacturing sector (CO2 emissions from manufacturing industries per manufacturing value added - MVA). CO2 emissions per unit of GDP are expressed in kilogrammes of CO2 per USD constant 2010 PPP GDP. CO2 emissions from manufacturing industries per unit of MVA are measured in kilogrammes of CO2 equivalent per unit of MVA in constant 2015 USD. Carbon emission per unit of value added is a universal indicator for measuring the impact of industrial production on environment. It captures the intensity of energy use, energy efficiency of production technology and most importantly use of fossil fuels. According to the UNIDO definition used for SDG indicator 9.4.1., carbon emission is estimated from the data on energy consumption. For more detail, please see : https://unstats.un.org/sdgs/metadata/?Text=&Goal=9&Target=9.4. |
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CO2 emissions (metric tons per capita)3>
Data sourceAdditional information |
Result | Indicators |
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Outcome Reduced digital divide (e.g. gender digital divide, rural-urban digital divide) |
EFSD digital 3.4. Number of households with access to fixed broadband connectivity, disaggregated by urban/rural and type of internet service (wired or wireless broadband network) (OPSYS core indicator) (Number)3>
Data sourceTelecommunication/ICT regulatory authority, Ministry of ICTs. Baseline and endline surveys conducted and budgeted by the EU-funded intervention. Additional informationOutcome-level indicator for the EFSD Investment Window on Digital (3.4). Data for this indicator can be collected through an official national household survey, by asking about household access to the Internet, broken down by type of Internet service (which can also include narrowband Internet access). The main types of fixed broadband services are: • Fixed (wired) broadband network, such as DSL, cable modem, high speed leased lines, fibre-to-the-home/building, powerline and other fixed (wired) broadband • Terrestrial fixed (wireless) broadband network, such as WiMAX, fixed CDMA. |
EFSD digital 3.4. Number of people with access to mobile broadband connectivity, disaggregated by sex, urban/rural (OPSYS core indicator) (Number)3>
Data sourceTelecommunication/ICT regulatory authority, Ministry of ICTs. Baseline and endline surveys conducted and budgeted by the EU-funded intervention. Additional informationOutcome-level indicator for the EFSD Investment Window on Digital (3.4). Disaggregation from registrations where data is available. It is noted that not all countries demand registration for pre-paid subscriptions. |
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GERF 2.11 - Number of people with access to Internet with EU support (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations Additional informationEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. |
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SDG 9.c.1. Proportion of population covered by a mobile network (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 9.c.1 (Tier I, custodian agency: ITU). Data is provided for the population with access to at least a 2G network, at least a 3G network or at least a 4G network. The indicator refers to the percentage of inhabitants living within range of a mobile-cellular signal, irrespective of whether or not they are mobile phone subscribers or users. This is calculated by dividing the number of inhabitants within range of a mobile-cellular signal by the total population and multiplying by 100. The indicator is based on where the population lives, and not where they work or go to school, etc. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=9&Target=9.c. Definition and method of computation: |
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EFSD digital 3.5. Number of people using digital financial services through investment support (disaggregated by sex, age, urban/rural) (OPSYS core indicator) (Percentage)3>
Data sourceBaseline and endline surveys conducted and budgeted by the EU-funded intervention, Database of beneficiaries of the EU-funded intervention Additional informationOutcome-level indicator for the EFSD Investment Window on Digital (3.5). This may include people benefitting from digital tools to be used through mobile/internet platforms to access financial services. |
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EURF 2.17. Number of beneficiaries with access to financial services with EU support - (c) people with access to digital financial services (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
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SDG 17.8.1. Percentage of individuals using the Internet (disaggregated by sex, geographic region and/or urban/rural, age group, educational level, labour force status, occupation) (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 17.8.1 (Tier I, custodian agency: ITU). The indicator proportion of individuals using the Internet is defined as the proportion of individuals who used the Internet from any location in the last three months. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=17&Target=17.8. |
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SDG 5.b.1. Percentage of individuals who own a mobile phone (disaggregated by sex, geographic region and/or urban/rural, age group, educational level, labour force status, occupation) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional information
SDG indicator 5.b.1 (Tier I, custodian agency: ITU). This indicator is calculated by dividing the total number of in-scope individuals who own a mobile phone by the total number of in-scope individuals. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=5&Target=5.b. |
Result | Indicators |
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Outcome Increased competitiveness of businesses and job creation in the digital domain as well as in other sectors profiting from digital input |
Number of full-time equivalent (FTE) workers employed during operations and maintenance phase, disaggregated by sex (OPSYS core indicator) (Number)3>
Data sourceEUBEC 7.5 Additional informationOutcome level indicator for the EFSD Investment Window on Digital (Cross sector indicator 4 - Direct employment) Number of full-time equivalent employees as per local definition working for the client company or project at the end of the reporting period. |
Number of indirect jobs supported, disaggregated by sex (OPSYS core indicator) (Number)3>
Data sourceIntervention M&E system Additional informationOutcome level indicator for the EFSD Investment Window on Digital (Cross sector indicator 5) Definitions and methodology as used by lead IFIs, who should provide exact details as a form of a methodology note |
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Number of new jobs created in companies benefitting from digitalization support provided by the Action (or provided by digitalization companies/experts supported through this Action) (Number)3>
Data sourceExpert analysis to be commissioned by the Action Additional information |
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Proportion of informal employment in non‑agriculture employment, disaggregated by sex (Percentage)3>
Data sourceAdditional informationSDG indicator 8.3.1 (Tier II) - (Indicator conceptually clear, established methodology and standards available but data not regularly produced by countries). So check availability for your country of interest before using. |
Result | Indicators |
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Outcome Improved efficiency, effectiveness and governance of economic activities and of public and private services |
SDG 4.a.1. Schools offering basic services - Proportion of schools with access to the internet for pedagogical purposes (disaggregated by education level) (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/. Baseline and endline surveys conducted and budgeted by the EU-funded intervention. Additional informationSDG Indicator 4.a.1 (Tier II, custodian agency: UNESCO-UIS). This indicator focuses on one of the seven types of basic services offered by schools. Data for this indicator are not regularly produced - please check data availability for your country of interest before selecting this indicator (or plan and budget for primary data collection). For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=4&Target=4.a. |
GERF 1.14/SDG 8.10.2 - Percentage of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service provider, disaggregated by sex (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 8.10.2 (Tier I, custodian agency: World Bank). The percentage of adults (ages 15+) who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=8&Target=8.10 |
Result | Indicators |
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Outcome Increased connection to open, affordable and secure broadband connectivity and digital infrastructure, especially for youth, women, vulnerable groups and rural communities |
EFSD digital 3.2. Number of Mobile Subscriptions (disaggregated by data/no data services enabled) (OPSYS core indicator) (Number)3>
Data sourceAnnual data from Telecommunication/ICT regulatory authority, Ministry of ICTs; Baseline and endline surveys conducted and budgeted by the EU-funded intervention Additional informationOutcome level indicator for the EFSD Investment Window on Digital (3.2). Number of mobile subscriptions (GSM, CDMA, BGAN, VSAT, EDGE, UMTS, WiMax, 3G, 4G, LTE, etc.) including voice and/or data at the end of the reporting period. Includes both post-pay and pre-pay subscriptions. |
EFSD digital 3.3. Number of Fixed Data Subscriptions (disaggregate by commercial and non-commercial subscriptions) (OPSYS core indicator)
(Number)3>
Data source
Annual data from Telecommunication/ICT regulatory authority, Ministry of ICTs (where possible), otherwise baseline and endline surveys conducted and budgeted by the EU-funded intervention Additional informationOutcome level indicator for the EFSD Investment Window on Digital (3.3). This indicator measures the number of fixed data subscriptions (ADSL, Broadband, Fibre, etc.) at the end of the reporting period. It distinguishes between new and improved subscriptions: 'new' subscriptions refer to interventions where networks have been expanded, while 'improved' subscriptions are understood as improvements in quality, e.g. upgrading from 3G to 4G or from telephone to fibre connection. Includes both post-pay and pre-pay subscriptions. |
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GERF 2.11 - Number of people with access to Internet with EU support (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
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Digital Evolution Index Score (Score)3>
Data sourceDigital Evolution Index data portal, https://sites.tufts.edu/digitalplanet/2017-digital-evolution-index/ Additional informationThe Digital Evolution Index 2017 is a comprehensive study tracking the progress countries have made in developing their digital economies and integrating connectivity into the lives of billions. With nearly half of the world’s population online, the research maps the development of 60 countries (please, check availability for your country of interest before using), demonstrating their competitiveness and market potential for further digital economic growth. The Index measures four key drivers and 170 unique indicators to chart each country’s respective course: • Supply (or internet access and infrastructure) • Consumer demand for digital technologies • Institutional environment (government policies/laws and resources) • Innovation (investments into R&D and digital start-ups etc.) For more information on 2017 Report, please see: https://sites.tufts.edu/digitalplanet/2017-digital-evolution-index/ |
Result | Indicators |
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Outcome Increased cybersecurity and privacy and data protection, critical information infrastructure and networks |
Global Cybersecurity Index (GCI) Score (OPSYS core indicator) (Score)3>
Data sourceGlobal Cybersecurity Index data portal, https://www.itu.int/en/ITU-D/Cybersecurity/Pages/GCI.aspx Additional informationThe Global Cybersecurity Index (GCI) is a multi-stakeholder initiative to measure the commitment of countries to cybersecurity. Cybersecurity has a wide field of application that cuts across many industries and sectors. Each country’s level of development will therefore be analysed within five categories: Legal Measures, Technical Measures, Organizational Measures, Capacity Building and Cooperation. The GCI revolves around the ITU Global Cybersecurity Agenda (GCA) and its five pillars (legal, technical, organizational, capacity building and cooperation). For each of these pillars, questions were developed to assess commitment. Through consultation with a group of experts, these questions were weighted in order to arrive at an overall GCI score. The survey was administered through an online platform through which supporting evidence was also collected. For more information please see: https://www.itu.int/en/ITU-D/Cybersecurity/Pages/GCI.aspx |
CyberGreen Index (Score)3>
Data sourceCyberGreen Index data portal, http://stats.cybergreen.net/ Additional informationLevel of risk posed to others on selected risk on a scale from 0 - 100(100 = worst). For more on data sources, calculations and terms see Glossary and data page: http://www.cybergreen.net/data/ For the overview of risks please see: http://stats.cybergreen.net/risk |
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Percentage of people who say that they feel their privacy and personal data is protected online (disaggregated by sex and age group) (Percentage)3>
Data sourceBaseline and endline surveys conducted and budgeted by the EU-funded intervention Additional information |
Result | Indicators |
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Outcome Ensured net neutrality and full access to the open Internet, promoting freedom of opinion and expression and limiting surveillance of communications |
Freedom on the Net - Freedom House (OPSYS core indicator) (Score)3>
Data sourceFreedom on the Net Report, https://www.freedomonthenet.org/countries-in-detail Additional informationFreedom on the Net measures the subtle and not-so-subtle ways that governments and non-state actors around the world restrict our intrinsic rights online. Each country assessment includes a detailed narrative report and numerical score (0=Most Free, 100=Less Free), based on methodology developed in consultation with international experts. This methodology includes three categories: Obstacles to Access: details infrastructural and economic barriers to access, legal and ownership control over internet service providers , and independence of regulatory bodies; Limits on Content: analyses legal regulations on content, technical filtering and blocking of websites, self-censorship, the vibrancy/diversity of online news media, and the use of digital tools for civic mobilization; Violations of User Rights: tackles surveillance, privacy, and repercussions for online speech and activities, such as imprisonment, extra-legal harassment, or cyber attacks. Coverage: Freedom on the Net has expanded from covering 15 countries in the 2009 pilot edition to 65 in the latest report (please, check availability for your country of interest before using). Countries are selected on the basis of the size of their internet population, their regional or global relevance, as well as the unique quality of their restrictions or protections on the internet. The countries selected for the report covers 88 percent of the global internet population, ensuring the project analyses the vast majority of users. |
Number of countries that adopt and implement constitutional, statutory and/or policy guarantees for public access to information (Number)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 16.10.2 (Tier II, Custodian agency: UNESCO-UIS) - Data not regularly produced by countries - please check data availability for your country of interest before using the indicator. The focus of this indicator is thus on the status of adoption and implementation of constitutional, statutory and/or policy guarantees for public access to information. The definition relates directly to “public access to information”, which is wider than, but is also very much based upon, the established fundamental freedoms of expression and association. Conversely, these freedoms also both impact on the environment for public access to information. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=16&Target=16.10. |
Result | Indicators |
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Outcome Improved digital literacy |
SDG 4.4.1. Percentage of youth and adults with information and communications technology (ICT) skills (disaggregated by sex, age group, labour force status and type of skill) (Percentage (%))3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 4.4.1 (Tier II, custodian agencies: UNESCO-UIS, ITU) - Data is not regularly produced - please check data availability for your country of interest before selecting this indicator. The proportion of youth and adults with information and communications technology (ICT) skills is defined as the percentage of youth (aged 15-24 years) and adults (aged 15 years and above) that have undertaken certain computer-related activities in a given time period (e.g. last three months). The list of the ICT skills is provided in the SDG indicator information in the link below. For more information on this SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=4&Target=4.4. |
Result | Indicators |
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Outcome More transparent and rule-based business and investment processes |
SDG 16.5.2 - Proportion of businesses that had at least one contact with a public official and that paid a bribe to a public official, or were asked for a bribe by those public officials during the previous 12 months (OPSYS core indicator) (Percentage)3>
Data sourceGlobal SDG Indicators Database, https://unstats.un.org/sdgs/indicators/database/ Additional informationSDG indicator 16.5.2 (Tier II, custodian agencies: World Bank, UNODC) - Data is not regularly produced - please check data availability for your country of interest before selecting this indicator. This indicator monitors the proportion of firms asked for a gift or informal payment when meeting with tax officials. For more information on the SDG indicator, please see: https://unstats.un.org/sdgs/metadata/?Text=&Goal=16&Target=16.5. |
Ease of Doing Business ranking (OPSYS core indicator)
(Ranking)3>
Data sourceWorld Bank Open Data, https://data.worldbank.org/ Additional informationWorld Bank ranking. Higher rankings (a low numerical value) indicate better, usually simpler, regulations for businesses and stronger protections of property rights. Limitations of the indicator: Besides its exclusive focus on the cost of regulation and not on the quality (with the consequent risk of promoting "deregulation") and its risks for distorting policy priorities (= promotes the focus of governments on climbing in the ranking rather than in reforming their business environment), the methodological weaknesses are even more pronounced in the context of Sub-Saharan Africa, in which the number of reliable data contributors is very limited. |
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Number of people who are using digital financial system(s) developed by the EU-funded intervention (disaggregated by sex and age group) (Number)3>
Data sourceSurvey of beneficiaries conducted and budgeted by the EU-funded intervention Additional informationPlease specify the digital financial systems. At outcome level, monitoring should focus on the use of systems by the target group after EU-funded support has ended. |
Result | Indicators |
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Outcome Increased digital entrepreneurship and digital business transformation |
Number of MSMEs, including farmers, who have received incentives within the promotional schemes established or reinforced with support of the EU-funded intervention (disaggregated by beneficiary's sex, age, urban/rural, level of education) (Number)3>
Data sourceBeneficiary reports from ministries, agencies and organizations administering incentives Additional informationPlease specify the type of incentive - e.g. government subsidy, tax incentives, etc. |
Result | Indicators |
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Outcome Improved access to public and private services (transparency and inclusiveness) |
EFSD digital 2.1. Number of people using e-governance systems and services established and/or improved through investment support, disaggregated by sex and age (OPSYS core indicator) (Number)3>
Data sourceBeneficiary reports from ministries, agencies and organizations implementing e-governance systems Additional informationOutcome-level indicator for the EFSD Investment Window on Digital (2.1). This indicator measures the number of people benefitting from investment-supported digital services such as digitalising and interconnecting national registries, eID, eProcurement, eHealth, eEnergy, climate services, disaster risk management, forestry and land management, e-Justice, e-Company and other digitalised public services intended to increase the performance and the accountability of public services towards citizens and business. The exact beneficiaries will depend on the context of the project. For example, for a voter registration system support, this indicator could include the number of people registered through the biometric voter system set up with investment support. There is a specific EFSD indicator on financial services (indicator 3.5), so please monitor the number of people supported to access financial services via digital means under that indicator. |
Number of people with access to e-services established and/or improved with support of the EU-funded intervention (Number or Percentage)3>
Data sourceReports from ministries, agencies and organizations implementing e-services Additional informationPlease specify the nature/sector of e-services established/improved by the EU funded intervention. |
Result | Indicators |
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Outcome Better informed design and delivery of services |
Extent to which regional/national policy documents or sector strategies are developed/improved by making use of machine-readable data (Qualitative)3>
Data sourceBaseline and endline studies conducted and budgeted by the EU-funded intervention Additional informationBaseline and endline studies are needed to record changes in the use of machine-readable data in development/improvement of the regional/national policy documents or sector strategies. |
Result | Indicators |
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Output Improved connectivity infrastructure, esp. in remote and inaccessible areas (e.g. cross-border terrestrial fiber interconnections, installation of submarine cables, Internet Exchange Points – IXPs, TV White Space) |
EFSD digital 3.1. Length of optical fibre cables installed with investment support (OPSYS core indicator) (Km)3>
Data source
Contracts with companies installing optical fibre, Inspection reports Additional informationOutput level indicator for the EFSD Investment Window on Digital (3.1) |
GERF 2.10b - Number of countries supported by the EU to (b) implement digital-related policies/strategies/laws/regulations (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
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GERF 2.11 - Number of people with access to Internet with EU support (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
Result | Indicators |
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Output Improved digitalisation-related standardisation, policy and regulation (e.g. licensing regimes, market liberalisation, neutrality rules, independent regulatory authorities, support schemes for rural and low population density areas), including privacy and data protection legal framework |
GERF 2.10a- Number of countries supported by the EU to (a) develop and/or revise digital-related policies/strategies/laws/ regulations (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations Additional information |
Result | Indicators |
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Output Increased national and local operational capacities to adequately prevent, respond to and address cyber attacks and/or accidental failures (e.g. establishment of Computer Emergency Response Teams, incorporation of cybercrime components in criminal justice sector reform programmes, integration of cyber resilience elements in projects on critical infrastructure) |
Number of national/local incident response organisations and/or Computer Emergency Response Teams (CERTs) created with support of the EU-funded intervention (Number)3>
Data sourceEstablishing documents of the organizations and teams; Notes from the meetings on establishment of the organizations and teams Additional informationPlease specify type of organizations and teams created with support of the EU-funded intervention . |
Number of incidents monitored and handled by national/local incident response organisations and/or Computer Emergency Response Teams (CERTs) thanks to support of the EU-funded intervention (Number)3>
Data sourceCERT incident reports, national/local incident response organisations incident reports; EU-funded intervention incident reports Additional informationPlease specify type of support provided by the EU-funded intervention in the incident handling. |
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GERF 2.10b - Number of countries supported by the EU to (b) implement digital-related policies/strategies/laws/regulations (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
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Number of national cyber strategies, Action Plans and Critical Information Infrastructure Protection policies developed/ revised with support of the EU-funded intervention (Number)3>
Data source
Official Gazette, Official policy and strategy online government sources; Notes from the policy development working group meetings Additional informationPlease specify type of document and support provided (development/revision) by EU funded intervention. |
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Number of key private sector entities (especially from critical infrastructure/services) and civil society organizations participating in the development of the national cyber strategies (Number)3>
Data sourceNotes and attendance records from the national cyber strategy working group meetings Additional informationYou can also rephrase this indicator to track the number of participants from private sector and civil society - this way you can disaggregate data by sex. |
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Number of national/local incident response organisations and/or CERTs that join international professional cyber associations (e.g. FIRST, Trusted Introducer) thanks to support from the EU-funded intervention (Number)3>
Data sourceInternational professional cyber association membership records, Membership documents of national/local incident response organisations and CERTs Reports on expert and other support provided by the EU-funded intervention Additional informationPlease specify international professional cyber associations (e.g. FIRST, Trusted Introducer). |
Result | Indicators |
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Output Improved regional, trans-regional and international cooperation on cybersecurity issues, involving public and private sector, as well as civil society, at both policy and operational levels |
Number of formal or informal cyber information sharing networks established/reinforced with support of the EU-funded intervention (Number)3>
Data sourceNotes from the cyber information sharing networks meetings Additional informationCyber information sharing networks are meant to facilitate incident report sharing/early warning/mitigation of serious cyber incidents |
Number of civil society, government and private sector participants in operational meetings organized by the EU-funded intervention to promote inter-agency and trans-national cooperation in actual cyber incidents (disaggregated by sex and category) (Number)3>
Data sourceMeeting notes and attendance records Additional informationData should be disaggregated by sex and category (government, civil society, private sector) |
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Number of joint cyber operations and investigations supported by the EU-funded intervention (Number)3>
Data sourceOperations and investigations reports participating organizations Operations and investigations reports of the EU-funded intervention Additional informationPlease specify type of operations and investigations (international, national) supported by the EU-funded intervention. |
Result | Indicators |
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Output Increased digital security awareness of citizens (esp. on privacy, data security, no-cash payment fraud, cyber-bullying, cyber-terrorism and online child sexual exploitation) |
Number of people whose awareness has been increased on privacy, data security, no-cash payment fraud, cyber-bullying, cyber-terrorism, online harassment, sexual and gender-based violence online, online child sexual exploitation thanks to the support of the EU-funded intervention (disaggregated by sex, age group, urban/rural, level of education) (Number)3>
Data sourcePress clipping performed by the EU-funded intervention, contracts with the media, events notes and records, online analytics, number of website engagements, number of online likes or discussions Additional informationPlease adapt/delete as appropriate the topics of awareness raising initiatives. This indicator is used to measure the reach of awareness raising campaigns organized by the EU-funded intervention. For each type of awareness raising activity please use specialized methodology. For the traditional media, press clipping and estimates of media reach may be used, for online campaigns - online analytics, and for the direct contacts and events - attendance of the events and number of direct contacts. |
GERF 2.10b - Number of countries supported by the EU to (b) implement digital-related policies/strategies/laws/regulations (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
Result | Indicators |
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Output Enhanced skills and competencies needed in the digital era |
Status of ICT/technical skills inclusion in the curriculum for primary/lower-secondary/upper-secondary education (disaggregated by types of skill) with the support of the EU-funded intervention (Qualitative)3>
Data sourceMinistry of Education curricula for primary/lower-secondary/upper-secondary education, Notes from curricula development meetings Additional informationPlease specify the education level for which the curriculum is developed with the support of the EU-funded intervention. Please see the methodology of SDG indicator 4.4.1 for a detailed list of computer skills here: https://unstats.un.org/sdgs/metadata/?Text=&Goal=4&Target=4.4. Please specify the availability of curricula in minority languages if relevant and supported by the EU-funded intervention. |
GERF 2.10b - Number of countries supported by the EU to (b) implement digital-related policies/strategies/laws/regulations (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
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GERF 2.14b/EURF 2.15b - Number of people who have benefited from institution or workplace based VET/skills development interventions supported by the EU - (b) only VET/skills development for digitalisation (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional informationPlease specify the digital skills. You may use the list of the 21 Digital skills and competencies defined by the JRC at the following link: http://publications.jrc.ec.europa.eu/repository/bitstream/JRC101254/jrc1.... |
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Existence of IT course materials at different education levels thanks to support of the EU-funded intervention (Qualitative)3>
Data sourceMinistry of Education course materials, Notes from course development meetings, Course materials database of the EU-funded intervention Additional informationPlease specify the education level for which the courses are developed with the support of the EU-funded intervention [primary/lower-secondary/upper-secondary education]. |
Result | Indicators |
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Output Increased public-private partnerships in national digital skills and literacy strategies (e.g. introduction of financial incentives such as tax breaks and digital skills vouchers, provision of training and certification), with a focus on actual market needs |
Status of regional/national digital skills and literacy strategies (Status of )3>
Data sourceOfficial government websites and archives with regional/national digital skills and literacy strategies. Progress reports and notes from strategy development meetings produced by the EU-funded intervention. Additional informationThis indicator is appropriate at the output level if the EU-funded intervention will support the development of regional/national digital skills and literacy strategies. |
Number of people who have benefited from incentives for using digital solutions thanks to support of the EU-funded intervention (disaggregated by sex, age, urban/rural, level of education) (Number)3>
Data sourceDatabase of beneficiaries Additional informationPlease specify type of incentive - e.g. legal/accounting assistance for tax breaks, digital skills vouchers, provision of training and certification. |
Result | Indicators |
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Output Increased access to digital solutions in business administration services (e.g. company registration, fiscal and administrative procedures, taxation and customs, including for agriculture) |
Extent to which the EU-funded intervention supported the development of digital solutions for business administration services (OPSYS core indicator) (Extent to which)3>
Data sourceProgress reports Additional informationThis can include services for company registration, fiscal and administrative procedures, taxation and customs, including for agriculture. |
Number of people trained by the EU-funded intervention who have increased knowledge and/or skills for using online system/business service (disaggregated by sex, age) (Number)3>
Data sourceDatabase of training participants, pre- and post-training surveys Additional informationPlease specify type of business service that is a subject of training and type of target group if relevant. |
Result | Indicators |
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Output Improved regulatory framework promoting digital entrepreneurial ecosystems (e.g. fiscal incentives and targeted government support) |
Extent to which the EU-funded intervention supported the definition/revision of the regulatory framework promoting digital entrepreneurial ecosystems (Extent to which)3>
Data sourceProgress reports Additional information |
Extent to which the EU-funded intervention supported the definition/revision of incentive mechanisms for digital entrepreneurship (Extent to which)3>
Data sourceProgress reports Additional information |
Result | Indicators |
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Output Increased collaboration platforms at international, regional and sub-regional level for research in the digital domain |
Number of international/regional/sub-regional platforms established/reinforced with support of the EU-funded intervention, with the representation from stakeholders, that meet at least X-times per year (Number)3>
Data sourceNotes and attendance records from the platform member meetings, progress reports Additional informationPlease specify stakeholders and how often they should meet. A stakeholder mapping may be required first to agree on a list of relevant stakeholders. |
Number of stakeholder groups participating in platforms established/reinforced with support of the EU-funded intervention (disaggregated by type of stakeholder, e.g. MSMEs, start-ups, research institutions, etc.) (Number)3>
Data sourceNotes and attendance records from the platform member meetings, progress reports Additional information |
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Number of joint research projects aimed at improving knowledge in digital domains supported by the EU-funded intervention (Number)3>
Data sourceResearch reports Additional informationPlease specify digital domain research project types. |
Result | Indicators |
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Output Strengthened capacities of digital financial services (e.g. fraud prevention systems, dispute resolution mechanisms, data privacy) |
Number of digital financial systems developed by the EU-funded intervention that are offered by financial service providers with investment support (OPSYS core indicator) (Number)3>
Data sourceHandover documents for the digital financial systems, progress reports Additional informationFinancial service providers include banks, insurance companies, and other providers who work to increase the range of financial services that people can access in digital form. |
GERF 2.17c - Number of beneficiaries with access to financial services with EU support - (c) people with access to digital financial services (OPSYS core indicator) (Number)3>
Data sourceEU interventions monitoring and reporting systems: annual and final reports from implementing organisations (e.g. governments, international organisations, non-state actors, etc), ROM reviews, evaluations. Additional information |
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Number of financial service providers who accepted the digital financial systems developed by the EU-funded intervention (Number)3>
Data sourceHandover documents for the digital financial systems, progress reports Additional informationPlease specify financial providers and types of digital services. |
Result | Indicators |
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Output Strengthened e-governance systems and solutions (e.g. civil registration systems, eID) |
Number of e-governance systems and services established and/or improved with support of the EU-funded intervention (OPSYS core indicator) (Number)3>
Data sourceProgress report Additional informationPlease specify type of services and support provided (established/improved). Digital services such as digitalising and interconnecting national registries, eID, eProcurement, eHealth, eEnergy, climate services, disaster risk management, forestry and land management, e-Justice, e-Company and other digitalised public services intended to increase the performance of public services towards citizens and business and can generate a social and/or a climate-friendly impact. |
Result | Indicators |
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Output Enhanced integration of ICTs/digital technologies in private and public service delivery, esp. in banking, health, education, agriculture and energy sectors (e.g. mobile banking, satellite enhanced telemedicine and eHealth system, remote education applications such as e-teaching and e-learning platform) |
Extent to the EU-funded intervention supported the integration of ICT/digital technologies in delivery of services (Extent to \)3>
Data sourceProgress reports Additional informationPlease specify type of service |
Number of schools where ICT facilities and equipment have been provided by the EU-funded intervention (OPSYS core indicator) (Number)3>
Data sourceHandover documents, progress reports Additional informationPlease specify beneficiaries and type of equipment. |
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Number of hospitals where ICT facilities and equipment have been provided by the EU-funded intervention (OPSYS core indicator) (Unit)3>
Data sourceHandover documents, progress reports Additional informationPlease specify beneficiaries and type of equipment. |
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Number of courts where ICT facilities and equipment have been provided by the EU-funded intervention (OPSYS core indicator) (Number)3>
Data sourceHandover documents, progress reports Additional informationPlease specify beneficiaries and type of equipment. |
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Number of participants trained by the EU-funded intervention who increased their skills and/or knowledge on integrating ICTs/digital technologies in service delivery (disaggregated by sex) (Number)3>
Data sourceDatabase of training participants, pre- and post-training tests Additional informationPlease specify the target group that will be trained. Please specify the target group that will be trained. |
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Number of healthcare staff trained by the EU-funded intervention with increased IT skills (disaggregated by sex, age, type of skill) (Number)3>
Data sourceDatabase of training participants, pre- and post-training tests Additional informationPlease specify IT skills. |
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Number of health information systems that have been rolled out with support of the EU-funded intervention (Number)3>
Data sourceProgress reports Additional informationPlease specify the type of the health information systems. |
Result | Indicators |
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Output Improved technologies and services for collection, processing and storage of data on environment, climate, agriculture and food security, health |
Extent to which the EU-funded intervention contributed to the integration of ICT/digital technologies in collection, processing and storage of data on environment/climate/agriculture/food security/health (Extent to which)3>
Data sourceProgress report Additional informationPlease specify the domain. Some examples of technology can include: • Online or web-based surveys • Hand-held devices such as clickers and PDAs • GPS and other satellite-based systems • Web-based databases |
Result | Indicators |
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Output Improved web-based applications/platforms for mobilisation and advocacy on gender equality and human rights |
Number of technologies established/reinforced with support of the EU intervention enabling human rights defenders/civil society organisations/ government to bear witness to human rights abuses and to share their stories (Number)3>
Data sourceProgress reports Additional informationPlease specify the type of technology. Some examples of technology can include • a software package that helps governments/civil society collect and systematize information about human rights abuses • a platform that enables blogging, the upload of digital and video images, the use of data visualizations, etc. • a technology that enables live-streaming of video from anywhere, which can be embedded on social media platforms |