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Measuring social impact is more challenging than measuring environmental impact. While it is easy to quantify greenhouse gas emissions, social inclusion, quality education, sustainable employment, and equitable healthcare are not standardized and vary from one location to another. This leads to the question of what impact truly means. At its most basic level, social impact refers to initiatives with explicit social aims that have a strong commitment to local capacity building and are accountable to their members and the community for their social, environmental, and economic impact. In contrast, the environmental sector benefits from uniform global standards, such as emissions standards.

Different impact pathways and theories of change outline how specific interventions or projects can lead to improved outcomes for the target group. For example, interventions to increase school attendance in rural Kenya may include scholarships or cash transfers, information campaigns, or school feeding programs. On a systemic level, organizations and public authorities can invest in additional teachers or provide materials for schools, leading to a better learning environment and improved educational outcomes.

Let’s begin with the most trustworthy category of data: formal statistics. Eurostat, the European Union’s statistical bureau, labels public-sector statistics as “EU statistics” if they meet certain quality standards, and each is marked with a quality assurance indicator.

The breadth of EU statistical reports is staggering. Hundreds of varied publications cover nearly every imaginable topic, with Eurostat, the EU’s main statistical agency, being responsible for a significant share of these publications.

Beyond the public sector, many more sources of data exist. Polling companies like IPSOS and YouGov, with the aid of online surveys, can access a wealth of public opinion data that often aligns with current news. Other private-sector organizations also contribute data. For example, federations and industry bodies generate data on a range of topics.

Further still, the number of sources is almost endless. Many private companies and think tanks offer valuable data sources. However, it’s crucial to bear in mind that these institutions often have their own objectives. Thus, before accepting their data at face value, it’s essential to comprehend their underlying motivations.

You can have a view on our process flow. Society Intelligence Process Flow

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You can access all Eurostat data for your baseline data.

You can find below a list of the currently available data which is updated automatically.

List of available Eurostat data:

  1. Births: Live births (total) by NUTS 3 region (name of variable in database: live_births_total)
  2. Area: Area by NUTS 3 region (name of variable in database: area)
  3. Population density: Population density by NUTS 3 region (name of variable in database: population_density)
  4. Live births by age group of the mothers: Live births by age group of the mothers and NUTS 3 region (name of variable in database: live_births_age_group_mothers)
  5. Fertility rate: Total fertility rate by NUTS 3 region (name of variable in database: fertility_rate)
  6. Deaths: Deaths by age group, sex and NUTS 3 region (name of variable in database: deaths_age_group)
  7. Population by age,sex: Population on 1 January by age group, sex and NUTS 3 region (name of variable in database: population_age_sex)
  8. Population ,structure indicators: Population: Structure indicators by NUTS 3 region (name of variable in database: population_structure_indicators)
  9. Employment: Employment (thousand persons) by NUTS 3 regions (name of variable in database: employment)
  10. GDP current market price: Gross domestic product (GDP) at current market prices by NUTS 3 regions (name of variable in database: gdp_current_market_price)
  11. GVA basic prices: Gross value added at basic prices by NUTS 3 regions (name of variable in database: gva_basic_prices)
  12. Population GDP: Average annual population to calculate regional GDP data (thousand persons) by NUTS 3 regions (name of variable in database: population_gdp)
  13. Emp Business demography by NACE: Employer business demography by NACE Rev. 2 and NUTS 3 regions (name of variable in database: emp_business_demography_nace)
  14. Emp Business demography by size class: Employer business demography by size class and NUTS 3 regions (name of variable in database: emp_business_demography_size_class)
  15. Business demo and high growth: Business demography and high growth enterprise by NACE Rev. 2 and NUTS 3 regions (name of variable in database: business_demo_high_growth)
  16. Business demo by size: Business demography by size class and NUTS 3 regions (name of variable in database: business_demo_size)
  17. Community design (CD) applications: Community design (CD) applications by NUTS 3 regions (name of variable in database: community_design_applications)
  18. Community design (CD): Community designs (CD) by NUTS 3 regions (name of variable in database: community_design)
  19. Registered Community designs (RCD): Registered Community designs (RCD) by NUTS 3 regions (name of variable in database: registered_community_designs)
  20. European Union trade mark (EUTM) applications: European Union trade mark (EUTM) applications by NUTS 3 regions (name of variable in database: eu_trade_mark_applications)
  21. European Union trade mark (EUTM) registrations: European Union trade mark (EUTM) registrations by NUTS 3 regions (name of variable in database: european_union_trade_mark_registrations)
  22. Biotechnology patent applications: Biotechnology patent applications to the EPO by priority year by NUTS 3 regions (name of variable in database: biotechnology_patent_applications)
  23. ICT patent applications: ICT patent applications to the EPO by priority year by NUTS 3 regions (name of variable in database: ict_patent_applications)
  24. Patent applications (international patent): Patent applications to the EPO by priority year by NUTS 3 regions, international patent classification (IPC) sections and classes (name of variable in database: patent_applications_international_patent)
  25. High-tech patent applications: High-tech patent applications to the EPO by priority year by NUTS 3 regions (name of variable in database: high_tech_patent_applications)
  26. Patent applications: Patent applications to the EPO by priority year by NUTS 3 regions (name of variable in database: patent_applications)
    Severely materially deprived people: Severely materially deprived people SDG_01_30 (name of variable in database: poverty_severely_deprived_people)
  27. People at risk of poverty or social exclusion: People at risk of poverty or social exclusion SDG_01_10 (name of variable in database: people at risk of poverty or social exclusion)
  28. People living in households with very low work intensity: People living in households with very low work intensity (sdg_01_40) (name of variable in database: people living in households with very low work intensity)
  29. In work at-risk-of-poverty rate: In work at-risk-of-poverty rate (sdg_01_41) (name of variable in database: in work at-risk-of-poverty rate)
  30. Population unable to keep home adequately warm by poverty status: Population unable to keep home adequately warm by poverty status (sdg_07_60) (name of variable in database: population unable to keep home adequately warm by poverty status)
  31. Overcrowding rate by poverty status: Overcrowding rate by poverty status (sdg_11_10) (name of variable in database: overcrowding rate by poverty status)
  32. Obesity rate by body mass index (BMI): Obesity rate by body mass index (BMI) (sdg_02_10) (name of variable in database: obesity rate by body mass index (bmi))
  33. Area under organic farming: Area under organic farming (sdg_02_40) (name of variable in database: area under organic farming)
  34. Healthy life years at birth by sex: Healthy life years at birth by sex (sdg_03_11) (name of variable in database: healthy life years at birth by sex)
  35. Share of people with good or very good perceived health by sex: Share of people with good or very good perceived health by sex (sdg_03_20) (name of variable in database: share of people with good or very good perceived health by sex)
  36. Exposure to air pollution by particulate matter: Exposure to air pollution by particulate matter (source: EEA) (sdg_11_50) (name of variable in database: exposure to air pollution by particulate matter)
  37. Early leavers from education and training by sex: Early leavers from education and training by sex (sdg_04_10) (name of variable in database: early leavers from education and training by sex)
  38. Early leavers from education and training by citizenship: Early leavers from education and training, by citizenship (sdg_04_10a) (name of variable in database: early leavers from education and training by citizenship)
  39. Tertiary educational attainment by sex: Tertiary educational attainment by sex (sdg_04_20) (name of variable in database: tertiary educational attainment by sex)
  40. Participation in early childhood education by sex (children aged 3 and over): Participation in early childhood education by sex (children aged 3 and over) (sdg_04_31) (name of variable in database: participation in early childhood education by sex (children aged 3 and over))
  41. Underachievement in reading, maths or science: Underachievement in reading, maths or science (source: OECD) (sdg_04_40) (name of variable in database: underachievement in reading, maths or science)
  42. Adult participation in learning by sex: Adult participation in learning by sex (sdg_04_60) (name of variable in database: adult participation in learning by sex)
  43. Share of individuals having at least basic digital skills: Share of individuals having at least basic digital skills, by sex (sdg_04_70) (name of variable in database: share of individuals having at least basic digital skills)
  44. Physical and sexual violence to women by age group (2012 data): Physical and sexual violence to women by age group (2012 data) (source: FRA) (sdg_05_10) (name of variable in database: physical and sexual violence to women by age group (2012 data))
  45. Gender pay gap in unadjusted form: Gender pay gap in unadjusted form (sdg_05_20) (name of variable in database: gender pay gap in unadjusted form)
  46. Gender employment gap: Gender employment gap (sdg_05_30) (name of variable in database: gender employment gap)
  47. Inactive population due to caring responsibilities by sex: Inactive population due to caring responsibilities by sex (sdg_05_40) (name of variable in database: inactive population due to caring responsibilities by sex)
  48. Early leavers from education and training by sex: Early leavers from education and training by sex (sdg_04_10) (name of variable in database: early leavers from education and training by sex)
  49. Tertiary educational attainment by sex: Tertiary educational attainment by sex (sdg_04_20) (name of variable in database: tertiary educational attainment by sex)
  50. Population having neither a bath, nor shower nor indoor flushing toiler in their household: Population having neither a bath, nor a shower, nor indoor flushing toilet in their household by poverty status (sdg_06_10) (name of variable in database: population having neither a bath, nor shower nor indoor flushing toiler in their household)
  51. Population connected to at least secondary waste water treatment: Population connected to at least secondary waste water treatment (sdg_06_20) (name of variable in database: population connected to at least secondary waste water treatment)
  52. Nitrate in groundwater: Nitrate in groundwater (source: EEA) (sdg_06_40) (name of variable in database: nitrate in groundwater)
  53. Phosphate in rivers: Phosphate in rivers (source: EEA) (sdg_06_50) (name of variable in database: phosphate in rivers)
  54. Water exploitation index: Water exploitation index, plus (WEI+) (source: EEA) (sdg_06_60) (name of variable in database: water exploitation index)
  55. Bathing sites with excellent water quality by locality: Bathing sites with excellent water quality by locality (source: EEA) (sdg_14_40) (name of variable in database: bathing sites with excellent water quality by locality)
  56. Primary energy consumption: Primary energy consumption (sdg_07_10) (name of variable in database: primary energy consumption)
  57. Final energy consumption: Final energy consumption (sdg_07_11) (name of variable in database: final energy consumption)
  58. Final energy consumption in households per capita: Final energy consumption in households per capita (sdg_07_20) (name of variable in database: final energy consumption in households per capita)
  59. Energy productivity: Energy productivity (sdg_07_30) (name of variable in database: energy productivity)
  60. Share of renewable energy in gross final energy consumption by sector: Share of renewable energy in gross final energy consumption by sector (sdg_07_40) (name of variable in database: share of renewable energy in gross final energy consumption by sector)
  61. Energy import dependency by products: Energy import dependency by products (sdg_07_50) (name of variable in database: energy import dependency by products)
  62. Greenhouse gas emissions intensity of energy consumption: Greenhouse gas emissions intensity of energy consumption (source: EEA and Eurostat) (sdg_13_20) (name of variable in database: greenhouse gas emissions intensity of energy consumption)
  63. Young people neither in employment nor in education and training by sex (NEET): Young people neither in employment nor in education and training by sex (NEET) (sdg_08_20) (name of variable in database: young people neither in employment nor in education and training by sex (neet))
  64. Young people neither in employment nor in education and training (NEET): Young people neither in employment nor in education and training (NEET), by citizenship (sdg_08_20a) (name of variable in database: young people neither in employment nor in education and training (neet))
  65. Long-term unemployment rate by sex: Long-term unemployment rate by sex (sdg_08_40) (name of variable in database: long-term unemployment rate by sex)
  66. Gross domestic expenditure on R&D by sector: Gross domestic expenditure on R&D by sector (sdg_09_10) (name of variable in database: gross domestic expenditure on r&d by sector)
  67. Share of buses and trains in total passenger transport: Share of buses and trains in total passenger transport (sdg_09_50) (name of variable in database: share of buses and trains in total passenger transport)
  68. Share of rail and inland waterways in total freight transport: Share of rail and inland waterways in total freight transport (sdg_09_60) (name of variable in database: share of rail and inland waterways in total freight transport)
  69. Air emission intensity from industry: Air emission intensity from industry (sdg_09_70) (name of variable in database: air emission intensity from industry)
  70. High-speed internet coverage: High-speed internet coverage, by type of area (source: DG CNECT and Eurostat) (sdg_17_60) (name of variable in database: high-speed internet coverage)
  71. Relative median at-risk-of-poverty gap: Relative median at-risk-of-poverty gap (sdg_10_30) (name of variable in database: relative median at-risk-of-poverty gap)
  72. Income distribution: Income distribution (sdg_10_41) (name of variable in database: income distribution)
  73. Income share of the bottom 40 % of the population: Income share of the bottom 40 % of the population (sdg_10_50) (name of variable in database:income share of the bottom 40 % of the population)
  74. Asylum applications by state of procedure: Asylum applications by state of procedure (sdg_10_60) (name of variable in database: asylum applications by state of procedure)
  75. Overcrowding rate by poverty status: Overcrowding rate by poverty status (sdg_11_10) (name of variable in database: overcrowding rate by poverty status)
  76. Recycling rate of municipal waste: Recycling rate of municipal waste (sdg_11_60) (name of variable in database: recycling rate of municipal waste)
  77. Population living in a dwelling with a leaking roof: Population living in a dwelling with a leaking roof, damp walls, floors or foundation or rot in window frames of floor by poverty status (sdg_01_60) (name of variable in database: population living in a dwelling with a leaking roof)
  78. Population reporting occurrence of crime: Population reporting occurrence of crime, violence or vandalism in their area by poverty status (sdg_16_20) (name of variable in database: population reporting occurrence of crime)
  79. Resource productivity and domestic material consumption (DMC): Resource productivity and domestic material consumption (DMC) (sdg_12_20) (name of variable in database: resource productivity and domestic material consumption (dmc))
  80. Circular material use rate: Circular material use rate (sdg_12_41) (name of variable in database: circular material use rate)
  81. Gross value added in environmental goods and services sector: Gross value added in environmental goods and services sector (sdg_12_61) (name of variable in database: gross value added in environmental goods and services sector)
  82. Energy productivity: Energy productivity (sdg_07_30) (name of variable in database: energy productivity)
  83. Greenhouse gas emissions by source sector: Greenhouse gas emissions by source sector (source: EEA) (sdg_13_10) (name of variable in database: greenhouse gas emissions by source sector)
  84. Greenhouse gas emissions intensity of energy consumption: Greenhouse gas emissions intensity of energy consumption (source: EEA and Eurostat) (sdg_13_20) (name of variable in database: greenhouse gas emissions intensity of energy consumption)
  85. Mean near-surface temperature deviation: Mean near-surface temperature deviation (source: EEA) (sdg_13_30) (name of variable in database: mean near-surface temperature deviation)
  86. Share of renewable energy in gross final energy consumption by sector: Share of renewable energy in gross final energy consumption by sector (sdg_07_40) (name of variable in database: share of renewable energy in gross final energy consumption by sector)
  87. Standardised death rate due to homicide by sex: Standardised death rate due to homicide by sex (sdg_16_10) (name of variable in database: standardised death rate due to homicide by sex)
  88. General government total expenditure on law courts: General government total expenditure on law courts (sdg_16_30) (name of variable in database: general government total expenditure on law courts)
  89. Perceived independence of the justice system: Perceived independence of the justice system (source: DG COMM) (sdg_16_40) (name of variable in database: perceived independence of the justice system)
  90. Corruption Perceptions Index: Corruption Perceptions Index (source: Transparency International) (sdg_16_50) (name of variable in database: corruption perceptions index)