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56,681 columns in the coverage ledger · read from /api/field-coverage on citytap-prod · source last observed Oct 11, 2026, 2:05 PM
3,026 datasets, 56,681 catalogued fields, 0 of them still unread. Every band below is a share of that, worst first. Open one to see its datasets.
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← What we have understood · Dataset page
Every field decided — Every field carries a verdict — which does not mean every field is understood.
Covered and uncovered alike, in the order the publisher lists them. A field with no verdict is one nobody has looked at yet.
| Field | Type | What we know | Meaning | How it was decided | Shared term |
|---|---|---|---|---|---|
| hispanic_1 % Hispanic | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| grade_9 Grade 9 | Number | Not enough to tell | — | value_profile | — |
| grade_5 Grade 5 | Number | Not enough to tell | — | value_profile | — |
| missing_race_ethnicity_data # Missing Race/Ethnicity Data | Number | Not enough to tell | — | value_profile | — |
| multi_racial # Multi-Racial | Number | Not enough to tell | — | value_profile | — |
| asian_1 % Asian | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| english_language_learners # English Language Learners | Number | Not enough to tell | — | value_profile | — |
| missing_race_ethnicity_data_1 % Missing Race/Ethnicity Data | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| black_1 % Black | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| male # Male | Number | Not enough to tell | — | value_profile | — |
| multi_racial_1 % Multi-Racial | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| native_american # Native American | Number | Not enough to tell | — | value_profile | — |
| students_with_disabilities # Students with Disabilities | Number | Not enough to tell | — | value_profile | — |
| english_language_learners_1 % English Language Learners | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| white # White | Number | Not enough to tell | — | value_profile | — |
| female # Female | Number | Not enough to tell | — | value_profile | — |
| white_1 % White | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| poverty # Poverty | Number | Not enough to tell | — | value_profile | — |
| female_1 % Female | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| students_with_disabilities_1 % Students with Disabilities | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| grade_4 Grade 4 | Number | Not enough to tell | — | value_profile | — |
| grade_11 Grade 11 | Number | Not enough to tell | — | value_profile | — |
| grade_12 Grade 12 | Number | Not enough to tell | — | value_profile | — |
| male_1 % Male | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| black # Black | Number | Not enough to tell | — | value_profile | — |
| poverty_1 % Poverty | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| hispanic # Hispanic | Number | Not enough to tell | — | value_profile | — |
| year Year | Text | Understood | time.fiscal_period Fiscal or school period | value_profilesmallest=2016-17 largest=2020-21 top[5]={2020-21×1878; 2019-20×1862; 2018-19×1833; 2017-18×1808; 2016-17×1788} | — |
| borough Borough | Text | Understood | place.borough Borough | value_domain_read | borough |
| economic_need_index Economic Need Index | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| grade_7 Grade 7 | Number | Not enough to tell | — | value_profile | — |
| native_american_1 % Native American | Number | Checked, no match | — | value_domain_readsmallest=0.0 largest=1 top[8 of 20]={0.488×120; 0.5×113; 0.496×111; 0.491×111; 0.483×110; 0.495×110; 0.48×109; 0.478×109} | — |
| grade_10 Grade 10 | Number | Not enough to tell | — | value_profile | — |
| grade_8 Grade 8 | Number | Not enough to tell | — | value_profile | — |
| total_enrollment Total Enrollment | Number | Not enough to tell | — | value_profile | — |
| grade_3k_pk_half_day_full Grade 3K+PK (Half Day & Full Day) | Number | Not enough to tell | — | value_profile | — |
| grade_k Grade K | Number | Not enough to tell | — | value_profile | — |
| grade_1 Grade 1 | Number | Not enough to tell | — | value_profile | — |
| grade_2 Grade 2 | Number | Not enough to tell | — | value_profile | — |
| asian # Asian | Number | Not enough to tell | — | value_profile | — |
| grade_3 Grade 3 | Number | Not enough to tell | — | value_profile | — |
| grade_6 Grade 6 | Number | Not enough to tell | — | value_profile | — |