← Back to LT country layer · Country index
Synthestat · Lithuania · latest run

lt_population_review_cycle3_888b7387_seed420987

Local run directory: /home/synthestat/output/runs/LT/lt_population_review_cycle3_888b7387_seed420987

This static page mirrors the run diagnostics/messages so they are clickable from the QA dashboard.

Output status

PeopleHouseholdsDwellingsHouses/buildingsMax marginal deviationHARD statusValidation rows
2,810,7611,215,3601,215,360——pass_exact76

Run files

FileBytesKind
assignment_diagnostics.json508file
build_manifest.json2,462file
constraint_residuals.json21,967file
distribution_diagnostics.json8,430file
dwelling_building_diagnostics.json562file
geography_quality_tiers.json1,002file
hidden_population_overlays.unavailable.json511file
household_diagnostics.json1,634file
model_notes.md1,115file
source_provenance.json34,506file
synthetic_building_assignments.unavailable.json456file
synthetic_dwellings.parquet6,155,302file
synthetic_households.parquet6,172,592file
synthetic_persons.parquet14,344,389file
unavailable.json909file
uncertainty_summary.json980file
work_school_assignments.unavailable.json474file

Datasets and distributions

Lists come from the latest run bundle: source_provenance.json, distribution_diagnostics.json, and build_manifest.json.

Summary

Datasets used0
Distributions available38
Constraints/distributions used in synthesis3
Constraint types—
Dataset variants—
Finest-geography status—

Source gaps

  • No source gaps listed.

Datasets used

Dataset/source ID
None listed yet.

Best source by distribution family

Distribution familyDataset/source ID
None listed yet.

Available distributions / priors in registry

SpecLabelTypeGeoStatusVariantConfidenceData URI
C01_education_occupation_couplingEducation-occupation coupling strengthGUIDEnationalmodelledcomparable_country0.615data/literature/seeded_occupation_priors.yaml
C02_assortative_mating_educationAssortative mating by educationGUIDEmunicipalitymodelledcomparable_country0.625data/literature/seeded_occupation_priors.yaml
C03_assortative_mating_ageAssortative mating by ageGUIDEmunicipalitymodelledcomparable_country0.695data/literature/seeded_occupation_priors.yaml
C04_assortative_mating_originAssortative mating by originGUIDEmunicipalitymodelledcomparable_country0.635data/literature/seeded_occupation_priors.yaml
C05_spatial_sorting_educationSpatial sorting by educationGUIDEnationalmodelledcomparable_country0.715data/literature/seeded_occupation_priors.yaml
C06_spatial_sorting_incomeSpatial sorting by incomeGUIDEnationalmodelledcomparable_country0.715data/literature/seeded_occupation_priors.yaml
C07_spatial_sorting_originSpatial sorting by originGUIDEnationalmodelledcomparable_country0.735data/literature/seeded_occupation_priors.yaml
C08_intergenerational_income_elasticityIntergenerational income elasticityGUIDEnationalmodelledcomparable_country0.595data/literature/seeded_occupation_priors.yaml
C09_intergenerational_occupation_transmissionIntergenerational occupation transmissionGUIDEnationalmodelledcomparable_country0.595data/literature/seeded_occupation_priors.yaml
C10_commuting_mode_distanceCommuting mode × distance × occupation × regionGUIDEmunicipalitymodelledcomparable_country0.655data/literature/seeded_occupation_priors.yaml
C11_health_age_sex_educationHealth × age × sex × educationGUIDEnationalmodelledcomparable_country0.635data/literature/seeded_occupation_priors.yaml
D01_age_sex_nuts3Age × sex at NUTS-3HARDNUTS-3constrainedrobust0.74docs/wiki/compiled/D01_age_sex_nuts3.md
D01_census_age_sex_nuts3Census age × sex at NUTS-3HARDNUTS-3constrainedrobust0.74docs/wiki/compiled/D01_census_age_sex_nuts3.md
D02_marital_nuts3Marital status × age × sex at NUTS-3FIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D02_marital_nuts3.md
D03_origin_age_sexOrigin group × age × sexFIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D03_origin_age_sex.md
D04_religion_age_sex_regionReligion × age × sex × regionGUIDENUTS-3constrainedrobust0.71docs/wiki/compiled/D04_religion_age_sex_region.md
D05_census_education_nuts3Census education at NUTS-3FIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D05_census_education_nuts3.md
D05_education_nuts2Education at NUTS-2FIRMNUTS-2constrainedcurrent0.7docs/wiki/compiled/D05_education_nuts2.md
D06_employment_age_sex_educationEmployment status × age × sex × educationFIRMunknownconstrainedrobust0.73docs/wiki/compiled/D06_employment_age_sex_education.md
D07_occupation_isco3Occupation ISCO-3 distributionSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D07_occupation_isco3.md
D08_occupation_educationOccupation × educationSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D08_occupation_education.md
D09_industry_nace2Industry NACE-2 distributionSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D09_industry_nace2.md
D10_income_education_occupationIncome × education × occupationSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D10_income_education_occupation.md
D11_income_household_type_regionIncome × household type × regionSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D11_income_household_type_region.md
D12_household_type_size_regionHousehold type × size × regionFIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D12_household_type_size_region.md
D13_children_mother_age_educationChildren × mother age × educationSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D13_children_mother_age_education.md
D14_partner_age_gap_homogamyPartner age gap × homogamySOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D14_partner_age_gap_homogamy.md
D15_coresidence_structureCo-residence structureSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D15_coresidence_structure.md
D16_household_income_type_regionHousehold income × type × regionSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D16_household_income_type_region.md
D17_education_mobilityEducation mobilityGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D17_education_mobility.md
D18_occupation_given_educationOccupation | educationSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D18_occupation_given_education.md
D19_employment_given_demographicsEmployment | demographicsSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D19_employment_given_demographics.md
D20_birth_intervalsBirth intervalsGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D20_birth_intervals.md
D21_age_first_birthAge at first birth × education × cohortGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D21_age_first_birth.md
D22_age_leaving_homeAge leaving homeGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D22_age_leaving_home.md
D23_divorce_duration_children_educationDivorce × duration × children × educationGUIDENUTS-3constrainedrobust0.71docs/wiki/compiled/D23_divorce_duration_children_education.md
D24_age_marriage_sex_educationAge at marriage × sex × educationGUIDENUTS-3constrainedrobust0.71docs/wiki/compiled/D24_age_marriage_sex_education.md
D25_internal_migrationInternal migrationFIRMunknownconstrainedrobust0.73docs/wiki/compiled/D25_internal_migration.md

Constraints/distributions used in synthesis manifest

Constraint or distribution ID
Eurostat:cens_21resh_r2
Eurostat:cens_21hhcs_r3
Eurostat:cens_21empo_r2

model_notes.md

# LT population review bundle — cycle 3

Run ID: `lt_population_review_cycle3_888b7387_seed420987`
Bundle path: `/home/synthestat/output/runs/LT/lt_population_review_cycle3_888b7387_seed420987`
Created at: 2026-05-19T18:20:05Z

Cycle 3 replaces the prior 8-person seeded fixture with a national-scale Lithuania internal review candidate: 2,810,761 synthetic persons in 1,215,360 private households and 1,215,360 synthetic dwellings. The model integrates frozen official Eurostat 2021 population age/sex/NUTS2 and private-household targets as HARD constraints and uses frozen employment/occupation evidence as GUIDE variation.

HARD residual status: PASS exact. Official comparison now matches Lithuania 2021 population (2,810,761) and private households (1,215,360) exactly.

Important limits: this is still internal research review. Real building assignment, hidden-population overlays, and work/school/facility assignment remain explicitly unavailable. Education, occupation, industry, income and family roles are varied and provenance-marked but still model-assigned where measured joint microdata are absent.

build_manifest.json

{
  "assignment_scope": {
    "building": "unavailable",
    "dwelling": "synthetic available",
    "school": "unavailable",
    "work": "unavailable"
  },
  "classification_crosswalk_versions": {
    "education": "ISCED-2011 heuristic",
    "industry": "NACE Rev.2 1-digit heuristic",
    "occupation": "ISCO-08 1-digit fallback"
  },
  "constraints_relaxed": [],
  "constraints_used": [
    "Eurostat:cens_21resh_r2",
    "Eurostat:cens_21hhcs_r3",
    "Eurostat:cens_21empo_r2"
  ],
  "contract_files": [
    "synthetic_persons.parquet",
    "synthetic_households.parquet",
    "synthetic_dwellings.parquet",
    "synthetic_building_assignments.unavailable.json",
    "hidden_population_overlays.unavailable.json",
    "work_school_assignments.unavailable.json",
    "build_manifest.json",
    "constraint_residuals.json",
    "distribution_diagnostics.json",
    "household_diagnostics.json",
    "dwelling_building_diagnostics.json",
    "assignment_diagnostics.json",
    "geography_quality_tiers.json",
    "uncertainty_summary.json",
    "source_provenance.json",
    "model_notes.md",
    "unavailable.json"
  ],
  "country": "LT",
  "created_at": "2026-05-19T18:20:05Z",
  "geography_version": {
    "target": "LT_NATIONAL_NUTS2_2021_EUROSTAT_CONSTRAINED"
  },
  "git_commit": "a5ad12d74bcf64a2c256e1fe83d99cc700e02bba-dirty",
  "git_dirty": true,
  "hard_constraint_status": "pass_exact",
  "hidden_population_scope": "explicit unavailable",
  "known_limitations": [
    "National/NUTS2 population and household targets are integrated exactly, but fine geography/building/hidden/work-school layers remain unavailable.",
    "Person attributes vary but are model-assigned; occupation is ISCO-1 fallback, not measured ISCO-3."
  ],
  "official_target_comparison": {
    "nuts2_population": {
      "LT01": 810797,
      "LT02": 1999964
    },
    "nuts2_private_households": {
      "LT01": 341292,
      "LT02": 874068
    },
    "population_total": 2810761,
    "private_households": 1215360
  },
  "population_counts": {
    "dwellings": 1215360,
    "households": 1215360,
    "persons": 2810761
  },
  "project_root": "/home/synthestat",
  "random_seed": 420987,
  "release_mode": "internal_research_review",
  "run_id": "lt_population_review_cycle3_888b7387_seed420987",
  "source_catalogue_version": {
    "readiness_status": "pass",
    "registry": "/home/synthestat/output/catalogue/distribution_registry_LT.json"
  },
  "zones_degraded": []
}

constraint_residuals.json

{
  "constraint_precedence": [
    "HARD",
    "FIRM",
    "SOFT",
    "GUIDE"
  ],
  "constraint_type_counts": {
    "HARD": 76
  },
  "country": "LT",
  "created_at": "2026-05-19T18:20:05Z",
  "hard_constraint_broken_rows": [],
  "hard_constraint_status": "pass_exact",
  "official_target_comparison_status": "national_hard_targets_matched_for_population_households_and_nuts2_age_sex",
  "residual_rows": [
    {
      "actual": 2810761,
      "constraint_id": "POP_TOTAL_LT",
      "constraint_type": "HARD",
      "geo": "LT",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat:cens_21resh_r2",
      "status": "pass",
      "target": 2810761
    },
    {
      "actual": 810797,
      "constraint_id": "POP_TOTAL_LT01",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat:cens_21resh_r2",
      "status": "pass",
      "target": 810797
    },
    {
      "actual": 1999964,
      "constraint_id": "POP_TOTAL_LT02",
      "constraint_type": "HARD",
      "geo": "LT02",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat:cens_21resh_r2",
      "status": "pass",
      "target": 1999964
    },
    {
      "actual": 1215360,
      "constraint_id": "PRIVATE_HOUSEHOLDS_LT",
      "constraint_type": "HARD",
      "geo": "LT",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat:cens_21hhcs_r3",
      "status": "pass",
      "target": 1215360
    },
    {
      "actual": 23433,
      "constraint_id": "AGE_SEX_LT01:Y_LT5:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 23433
    },
    {
      "actual": 21730,
      "constraint_id": "AGE_SEX_LT01:Y_LT5:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 21730
    },
    {
      "actual": 23964,
      "constraint_id": "AGE_SEX_LT01:Y5-9:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 23964
    },
    {
      "actual": 22572,
      "constraint_id": "AGE_SEX_LT01:Y5-9:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 22572
    },
    {
      "actual": 22431,
      "constraint_id": "AGE_SEX_LT01:Y10-14:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 22431
    },
    {
      "actual": 21705,
      "constraint_id": "AGE_SEX_LT01:Y10-14:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 21705
    },
    {
      "actual": 17802,
      "constraint_id": "AGE_SEX_LT01:Y15-19:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 17802
    },
    {
      "actual": 16970,
      "constraint_id": "AGE_SEX_LT01:Y15-19:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 16970
    },
    {
      "actual": 18771,
      "constraint_id": "AGE_SEX_LT01:Y20-24:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 18771
    },
    {
      "actual": 17941,
      "constraint_id": "AGE_SEX_LT01:Y20-24:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 17941
    },
    {
      "actual": 24010,
      "constraint_id": "AGE_SEX_LT01:Y25-29:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 24010
    },
    {
      "actual": 24333,
      "constraint_id": "AGE_SEX_LT01:Y25-29:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2; deterministic suppression reconciliation to published geo total",
      "status": "pass",
      "target": 24333
    },
    {
      "actual": 32208,
      "constraint_id": "AGE_SEX_LT01:Y30-34:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 32208
    },
    {
      "actual": 32971,
      "constraint_id": "AGE_SEX_LT01:Y30-34:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 32971
    },
    {
      "actual": 32848,
      "constraint_id": "AGE_SEX_LT01:Y35-39:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 32848
    },
    {
      "actual": 33387,
      "constraint_id": "AGE_SEX_LT01:Y35-39:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 33387
    },
    {
      "actual": 29571,
      "constraint_id": "AGE_SEX_LT01:Y40-44:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 29571
    },
    {
      "actual": 30346,
      "constraint_id": "AGE_SEX_LT01:Y40-44:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 30346
    },
    {
      "actual": 27255,
      "constraint_id": "AGE_SEX_LT01:Y45-49:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 27255
    },
    {
      "actual": 29328,
      "constraint_id": "AGE_SEX_LT01:Y45-49:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 29328
    },
    {
      "actual": 25596,
      "constraint_id": "AGE_SEX_LT01:Y50-54:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 25596
    },
    {
      "actual": 28711,
      "constraint_id": "AGE_SEX_LT01:Y50-54:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 28711
    },
    {
      "actual": 25439,
      "constraint_id": "AGE_SEX_LT01:Y55-59:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 25439
    },
    {
      "actual": 30788,
      "constraint_id": "AGE_SEX_LT01:Y55-59:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 30788
    },
    {
      "actual": 23116,
      "constraint_id": "AGE_SEX_LT01:Y60-64:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 23116
    },
    {
      "actual": 31250,
      "constraint_id": "AGE_SEX_LT01:Y60-64:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 31250
    },
    {
      "actual": 16705,
      "constraint_id": "AGE_SEX_LT01:Y65-69:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 16705
    },
    {
      "actual": 25262,
      "constraint_id": "AGE_SEX_LT01:Y65-69:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 25262
    },
    {
      "actual": 12722,
      "constraint_id": "AGE_SEX_LT01:Y70-74:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 12722
    },
    {
      "actual": 22599,
      "constraint_id": "AGE_SEX_LT01:Y70-74:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 22599
    },
    {
      "actual": 8844,
      "constraint_id": "AGE_SEX_LT01:Y75-79:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 8844
    },
    {
      "actual": 17651,
      "constraint_id": "AGE_SEX_LT01:Y75-79:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 17651
    },
    {
      "actual": 6420,
      "constraint_id": "AGE_SEX_LT01:Y80-84:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 6420
    },
    {
      "actual": 15024,
      "constraint_id": "AGE_SEX_LT01:Y80-84:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 15024
    },
    {
      "actual": 4434,
      "constraint_id": "AGE_SEX_LT01:Y_GE85:M",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 4434
    },
    {
      "actual": 12660,
      "constraint_id": "AGE_SEX_LT01:Y_GE85:F",
      "constraint_type": "HARD",
      "geo": "LT01",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 12660
    },
    {
      "actual": 44933,
      "constraint_id": "AGE_SEX_LT02:Y_LT5:M",
      "constraint_type": "HARD",
      "geo": "LT02",
      "relative_error": 0.0,
      "residual": 0,
      "source_id": "Eurostat cens_21resh_r2",
      "status": "pass",
      "target": 44933
    },
    {
      "actual": 42553,
      "constraint_id": "AGE_SEX_LT02:Y_LT5:

… truncated after 12,000 characters …

household_diagnostics.json

{
  "country": "LT",
  "family_composition_status": "official_household_size_and_composition_marginals_integrated_at_NUTS2_with_deterministic_person_fit",
  "household_count": 1215360,
  "household_size_counts": {
    "LT01:1": 113624,
    "LT01:11": 13,
    "LT01:2": 93891,
    "LT01:3": 63114,
    "LT01:4": 48890,
    "LT01:5": 14763,
    "LT01:7": 5445,
    "LT01:8": 1552,
    "LT02:1": 313637,
    "LT02:11": 47,
    "LT02:2": 251375,
    "LT02:3": 148412,
    "LT02:4": 109510,
    "LT02:5": 33981,
    "LT02:7": 6969,
    "LT02:8": 10137
  },
  "household_type_counts": {
    "LT01:HH_COUPLE_ADULT_CHILD": 17713,
    "LT01:HH_COUPLE_CHILD": 90687,
    "LT01:HH_COUPLE_NO_CHILD": 68268,
    "LT01:HH_LONE_FATHER_ADULT_CHILD": 2248,
    "LT01:HH_LONE_FATHER_CHILD": 1502,
    "LT01:HH_LONE_MOTHER_ADULT_CHILD": 15747,
    "LT01:HH_LONE_MOTHER_CHILD": 22469,
    "LT01:HH_MULTI_FAMILY": 7163,
    "LT01:HH_NON_FAMILY": 1868,
    "LT01:HH_SINGLE": 113627,
    "LT02:HH_COUPLE_ADULT_CHILD": 45367,
    "LT02:HH_COUPLE_CHILD": 197855,
    "LT02:HH_COUPLE_NO_CHILD": 188877,
    "LT02:HH_LONE_FATHER_ADULT_CHILD": 5943,
    "LT02:HH_LONE_FATHER_CHILD": 4615,
    "LT02:HH_LONE_MOTHER_ADULT_CHILD": 37191,
    "LT02:HH_LONE_MOTHER_CHILD": 58666,
    "LT02:HH_MULTI_FAMILY": 17025,
    "LT02:HH_NON_FAMILY": 4889,
    "LT02:HH_SINGLE": 313640
  },
  "notes": [
    "Household/person linking is synthetic and national-scale; family roles are heuristic within official household-size/composition marginals, not measured kinship microdata."
  ],
  "person_count": 2810761,
  "run_id": "lt_population_review_cycle3_888b7387_seed420987"
}

dwelling_building_diagnostics.json

{
  "building_assignment_status": "unavailable_real_building_assignment",
  "country": "LT",
  "dwelling_count": 1215360,
  "ntr_profile_rows": {
    "ntr_all_buildings": 1356347,
    "ntr_residential_buildings": 461546,
    "rc_address_buildings": 1120517
  },
  "real_building_status": "not_integrated_for_cycle3",
  "run_id": "lt_population_review_cycle3_888b7387_seed420987",
  "source_note": "RC/NTR/data.gov.lt building profiles are preserved as source evidence, but no 1:1 real-building assignment is emitted without bounded building/dwelling linkage."
}

distribution_diagnostics.json

{
  "confidence_below_0_7": [
    {
      "catalogue_id": "literature:se-c01_education_occupation_coupling__transfer_from_se",
      "confidence": 0.615,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "37dd178fbfc096717d310f69212adab59f44c786ab0a7ba3a619cd14a1ad25a8",
      "spec_id": "C01_education_occupation_coupling",
      "spec_label": "Education-occupation coupling strength",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.192,
        "method": "literature_regression"
      }
    },
    {
      "catalogue_id": "literature:se-c02_assortative_mating_education__transfer_from_se",
      "confidence": 0.625,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "eaee1a327700e2d610d66250874c4a02384c91acf0978dc0da7068f160c72ccb",
      "spec_id": "C02_assortative_mating_education",
      "spec_label": "Assortative mating by education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.183,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c03_assortative_mating_age__transfer_from_se",
      "confidence": 0.695,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "3eb83fc2d668330c0741a9ecbc79396899723ab82c36e6ea65145422ab21298e",
      "spec_id": "C03_assortative_mating_age",
      "spec_label": "Assortative mating by age",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.132,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c04_assortative_mating_origin__transfer_from_se",
      "confidence": 0.635,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "28af2b98be831deada16d0cb59fff8c508690bec693dba1d2ada30ed79847f7c",
      "spec_id": "C04_assortative_mating_origin",
      "spec_label": "Assortative mating by origin",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.183,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c08_intergenerational_income_elasticity__transfer_from_se",
      "confidence": 0.595,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "3d22c15ad14b099d588d92509ac6c1cc093b93030886566dfb5515832921485c",
      "spec_id": "C08_intergenerational_income_elasticity",
      "spec_label": "Intergenerational income elasticity",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.213,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:se-c09_intergenerational_occupation_transmission__transfer_from_se",
      "confidence": 0.595,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "442742abe9c98b9e140543e204024034e0af7af48f434f22ce06c293940cb417",
      "spec_id": "C09_intergenerational_occupation_transmission",
      "spec_label": "Intergenerational occupation transmission",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.213,
        "method": "literature_regression"
      }
    },
    {
      "catalogue_id": "literature:se-c10_commuting_mode_distance__transfer_from_se",
      "confidence": 0.655,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "2015fab2a394a190c86a9f6689f241a0cc479afe8e92a88dd282ecfe5b3a669b",
      "spec_id": "C10_commuting_mode_distance",
      "spec_label": "Commuting mode × distance × occupation × region",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.172,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c11_health_age_sex_education__transfer_from_se",
      "confidence": 0.635,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "576119788fbe954a5198139e9bd5d75211297f26096080fb89a111fc0f12c1df",
      "spec_id": "C11_health_age_sex_education",
      "spec_label": "Health × age × sex × education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.183,
        "method": "literature_regression"
      }
    }
  ],
  "constraint_sources_integrated": [
    "Eurostat:cens_21resh_r2 population by NUTS2 age sex",
    "Eurostat:cens_21hhcs_r3 private households by NUTS2 size/composition",
    "Eurostat:cens_21empo_r2 employment-status GUIDE variation",
    "data.gov.lt RC/VDA/NTR schema profiles as provenance/quality flags"
  ],
  "country": "LT",
  "coverage_summary": {
    "country": "LT",
    "covered_count": 38,
    "missing_count": 0,
    "readiness_status": "pass",
    "required_count": 38,
    "usable_count": 38,
    "usable_ratio": 1.0
  },
  "official_target_comparison": {
    "nuts2_population": {
      "LT01": 810797,
      "LT02": 1999964
    },
    "nuts2_private_households": {
      "LT01": 341292,
      "LT02": 874068
    },
    "population_total": 2810761,
    "private_households": 1215360
  },
  "readiness_status": "pass",
  "registry_entry_count": 38,
  "run_id": "lt_population_review_cycle3_888b7387_seed420987"
}

uncertainty_summary.json

{
  "country": "LT",
  "input_uncertainty_records": [
    {
      "bounds_uri": null,
      "confidence": 0.95,
      "constraint_type": "HARD",
      "source_id": "Eurostat:cens_21resh_r2"
    },
    {
      "bounds_uri": null,
      "confidence": 0.95,
      "constraint_type": "HARD",
      "source_id": "Eurostat:cens_21hhcs_r3"
    },
    {
      "bounds_uri": null,
      "confidence": 0.8,
      "constraint_type": "GUIDE",
      "source_id": "Eurostat:cens_21empo_r2"
    }
  ],
  "limitations": [
    "Education, occupation, industry, family roles are varied but model-assigned from broad official/crosswalk priors; no measured microdata joint distribution.",
    "Hidden/work-school/building assignment layers unavailable."
  ],
  "run_id": "lt_population_review_cycle3_888b7387_seed420987",
  "uncertainty_policy": "HARD official totals match exactly; modelled person attributes retain B-tier/partially-constrained flags and no unsupported fine-geography certainty."
}

source_provenance.json

{
  "country": "LT",
  "created_at": "2026-05-19T18:20:05Z",
  "frozen_eurostat_distributions": {
    "catalogue_path": "/home/synthestat/workspace/manager_handoffs/downloader/2026-05-19_1656_lt_eurostat_distribution_freeze_catalogue.json",
    "dataset_count": 26,
    "storage_root": "/home/synthestat/data/ingestion/lt/official_sources/2026-05-19_1656_lt_eurostat_distributions"
  },
  "geography_levels": [
    "national",
    "NUTS2"
  ],
  "reference_periods": {
    "Eurostat census": "2021"
  },
  "registry_entries": [
    {
      "catalogue_id": "literature:se-c01_education_occupation_coupling__transfer_from_se",
      "confidence": 0.615,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "37dd178fbfc096717d310f69212adab59f44c786ab0a7ba3a619cd14a1ad25a8",
      "spec_id": "C01_education_occupation_coupling",
      "spec_label": "Education-occupation coupling strength",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.192,
        "method": "literature_regression"
      }
    },
    {
      "catalogue_id": "literature:se-c02_assortative_mating_education__transfer_from_se",
      "confidence": 0.625,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "eaee1a327700e2d610d66250874c4a02384c91acf0978dc0da7068f160c72ccb",
      "spec_id": "C02_assortative_mating_education",
      "spec_label": "Assortative mating by education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.183,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c03_assortative_mating_age__transfer_from_se",
      "confidence": 0.695,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "3eb83fc2d668330c0741a9ecbc79396899723ab82c36e6ea65145422ab21298e",
      "spec_id": "C03_assortative_mating_age",
      "spec_label": "Assortative mating by age",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.132,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c04_assortative_mating_origin__transfer_from_se",
      "confidence": 0.635,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "28af2b98be831deada16d0cb59fff8c508690bec693dba1d2ada30ed79847f7c",
      "spec_id": "C04_assortative_mating_origin",
      "spec_label": "Assortative mating by origin",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.183,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c05_spatial_sorting_education__transfer_from_se",
      "confidence": 0.715,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "81919503e223cee02fbe214f9f58eee6beea943d8f4c47532dfb1f637823c718",
      "spec_id": "C05_spatial_sorting_education",
      "spec_label": "Spatial sorting by education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.123,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:se-c06_spatial_sorting_income__transfer_from_se",
      "confidence": 0.715,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "67a18b48874fd2b61c8c75faae79efcac77b098d9bf8731158987b9606f47fa8",
      "spec_id": "C06_spatial_sorting_income",
      "spec_label": "Spatial sorting by income",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.123,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:se-c07_spatial_sorting_origin__transfer_from_se",
      "confidence": 0.735,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "fb6ec84389491d99568ac7ff76790b8aed6554eee22412ab01b23d654b2b302e",
      "spec_id": "C07_spatial_sorting_origin",
      "spec_label": "Spatial sorting by origin",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.112,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:se-c08_intergenerational_income_elasticity__transfer_from_se",
      "confidence": 0.595,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "3d22c15ad14b099d588d92509ac6c1cc093b93030886566dfb5515832921485c",
      "spec_id": "C08_intergenerational_income_elasticity",
      "spec_label": "Intergenerational income elasticity",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.213,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:se-c09_intergenerational_occupation_transmission__transfer_from_se",
      "confidence": 0.595,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "442742abe9c98b9e140543e204024034e0af7af48f434f22ce06c293940cb417",
      "spec_id": "C09_intergenerational_occupation_transmission",
      "spec_label": "Intergenerational occupation transmission",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.213,
        "method": "literature_regression"
      }
    },
    {
      "catalogue_id": "literature:se-c10_commuting_mode_distance__transfer_from_se",
      "confidence": 0.655,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "municipality",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "2015fab2a394a190c86a9f6689f241a0cc479afe8e92a88dd282ecfe5b3a669b",
      "spec_id": "C10_commuting_mode_distance",
      "spec_label": "Commuting mode × distance × occupation × region",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.172,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:se-c11_health_age_sex_education__transfer_from_se",
      "confidence": 0.635,
      "constraint_type": "GUIDE",
      "country": "LT",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "SE_KOM_CURRENT",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "576119788fbe954a5198139e9bd5d75211297f26096080fb89a111fc0f12c1df",
      "spec_id": "C11_health_age_sex_education",
      "spec_label": "Health × age × sex × education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.183,
        "method": "literature_regression"
      }
    },
    {
      "catalogue_id": "D01_age_sex_nuts3",
      "confidence": 0.74,
      "constraint_type": "HARD",
      "country": "LT",
      "data_uri": "docs/wiki/compiled/D01_age_sex_nuts3.md",
      "dataset_variant": "robust",
      "evidence_quality": "official_supranational_census_or_admin",
      "finest_geography_status": "constrained",
      "geo_level": "NUTS-3",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "nuts-3",
      "priority_weight": "high",
      "region_id": null,
      "schema_hash": "f58e5915c56380da9eb150012abad1b24f7dda358d736505c6a8c37a52e98395",
      "spec_id": "D01_age_sex_nuts3",
      "spec_label": "Age × sex at NUTS-3",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.26,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D01_census_age_sex_nuts3",
      "confidence": 0.74,
      "constraint_type": "HARD",
      "country": "LT",
      "data_uri": "docs/wiki/compiled/D01_census_age_sex_nuts3.md",
      "dataset_variant": "robust",
      "evidence_quality": "official_supranational_census_or_admin",
      "finest_geography_status": "constrained",
      "geo_level": "NUTS-3",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "nuts-3",
  

… truncated after 12,000 characters …

unavailable.json

{
  "country": "LT",
  "created_at": "2026-05-19T18:20:05Z",
  "files": {
    "hidden_population_overlays.parquet": "hidden_population_overlays.unavailable.json",
    "synthetic_building_assignments.parquet": "synthetic_building_assignments.unavailable.json",
    "work_school_assignments.parquet": "work_school_assignments.unavailable.json"
  },
  "principle": "Unavailable layers are explicit and do not alter HARD de-jure constraints.",
  "reasons": {
    "hidden_population_overlays.parquet": "No bounded small-area hidden-population sources integrated.",
    "synthetic_building_assignments.parquet": "No bounded real-building assignment source integrated; RC/NTR schema profiles are provenance/requirements only for this cycle.",
    "work_school_assignments.parquet": "No bounded school/work/facility assignment sources integrated."
  },
  "run_id": "lt_population_review_cycle3_888b7387_seed420987"
}