original_dataset_id stringlengths 32 32 | dataset_name stringclasses 1 value | table stringlengths 237 10.3k | table_title stringclasses 1 value | text stringclasses 1 value | question stringlengths 20 359 | answer stringlengths 5 215 |
|---|---|---|---|---|---|---|
502462f74e2b610c4df8e1cdbd7606b7 | hitab | {"table_id": "1293", "table": {"cells": [["type of formal employer support", "2013", "2010"], ["", "percentage", ""], ["any type of support", "55", "57"], ["use of facilities or equipment", "27", "30"], ["paid time off or time to spend volunteering", "20", "20"], ["approval to change work hours or reduce work activities", "34", "35"], ["recognition or letter of thanks", "19", "24"], ["other", "3", "4"], ["donated prizes, gift certificates", "1", "2"], ["donated financially to the organization", "1", "1"], ["donated t-shirts or company goods", "1", "1"], ["sponsored an event, paid entry fee or membership fee", "1", "1"], ["provided transportation", "0", "f"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | what is the prevalence of formal recognition or letter of thanks in 2010? | ["24.0"] |
5fc37195b7f2c1b143daa0e27399d0bb | hitab | {"table_id": "1293", "table": {"cells": [["type of formal employer support", "2013", "2010"], ["", "percentage", ""], ["any type of support", "55", "57"], ["use of facilities or equipment", "27", "30"], ["paid time off or time to spend volunteering", "20", "20"], ["approval to change work hours or reduce work activities", "34", "35"], ["recognition or letter of thanks", "19", "24"], ["other", "3", "4"], ["donated prizes, gift certificates", "1", "2"], ["donated financially to the organization", "1", "1"], ["donated t-shirts or company goods", "1", "1"], ["sponsored an event, paid entry fee or membership fee", "1", "1"], ["provided transportation", "0", "f"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | what is the prevalence of formal recognition or letter of thanks in 2013? | ["19.0"] |
b77473f060ec704ed3d59711b8eaa879 | hitab | {"table_id": "1294", "table": {"cells": [["", "2013", "2010", "2007", "2004"], ["dissatified with previous volunteer experience", "9", "7", "8", "6"], ["financial costs", "18", "17", "18", "15"], ["did not know how to become involved", "24", "22", "24", "22"], ["gave enough time already", "24", "17", "15", "15"], ["health problems or not physically able", "25", "26", "27", "26"], ["no interest", "29", "27", "26", "23"], ["no one asked", "49", "45", "44", "40"], ["prefer to give money instead", "54", "52", "53", "49"], ["inability to make long-term commitment", "62", "62", "62", "58"], ["did not have the time", "66", "67", "68", "67"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | what is the percentage of non-volunteers citing a lack of interest in volunteering in 2004? | ["23.0"] |
469eb6f7e6e4001052fc7998908b0c1d | hitab | {"table_id": "1294", "table": {"cells": [["", "2013", "2010", "2007", "2004"], ["dissatified with previous volunteer experience", "9", "7", "8", "6"], ["financial costs", "18", "17", "18", "15"], ["did not know how to become involved", "24", "22", "24", "22"], ["gave enough time already", "24", "17", "15", "15"], ["health problems or not physically able", "25", "26", "27", "26"], ["no interest", "29", "27", "26", "23"], ["no one asked", "49", "45", "44", "40"], ["prefer to give money instead", "54", "52", "53", "49"], ["inability to make long-term commitment", "62", "62", "62", "58"], ["did not have the time", "66", "67", "68", "67"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | what is the percentage of non-volunteers citing a lack of interest in volunteering in 2013? | ["29.0"] |
67e2a795b0837c1f72fd0daad317c2c8 | hitab | {"table_id": "1295", "table": {"cells": [["", "2013", "2010", "2007", "2004"], ["housework, home maintenance", "59", "61", "60", "60"], ["health-related or personal care", "49", "53", "53", "50"], ["shopping, driving to store or appointment", "45", "47", "47", "46"], ["paperwork", "27", "29", "29", "28"], ["teaching, coaching or tutoring", "15", "17", "16", "16"], ["other", "22", "24", "25", "24"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many percentage points do health-related and personal care support drop since 2010 to 2013? | ["4"] |
2afe5d3955d5e1d13912e90d1de30af3 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | what is the entry rate of enterprises consisted of the group of short-lived firms? | ["2.9"] |
8e8487536896afec64d9650480e96bd0 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | what is the total number of entrants in 2011? | ["138506.0"] |
734a809ea2180e3e832586cb58b45b40 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | how many alus do entrants in 2011 account for? | ["166580.0"] |
b7367446c25c48d812945cdda5b471a4 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | how many ilus do entrants in 2011 account for? | ["305671.0"] |
0dd16960c010011ed89561822cf12deb | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | how much percentage of employment using full-time equivalents do entrants account for if the first-year size of entrants is used? | ["1.5"] |
25a0cf9511c1a0b98a5db6dc649ea97f | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | how much percentage of employment using person-job counts do entrants account for if the first-year size of entrants is used? | ["2.3"] |
6c338421653d9acd1851f4ca7d64d13c | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | how much percentage of employment using full-time equivalents do entrants account for if the second-year size of entrants is used? | ["1.3"] |
eb70f1a23b2fa325af5116baaf901e8e | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd7", "annual pd7"], ["", "numbers", "", "percent", "", "", "numbers", "", "", "", "", "", ""], ["one-year entry", "1,066,451", "138,506", "13.0", "1.5", "2.3", "166,580", "305,671", "262,475", "378,678", "130,932", "235,252", "138,428"], ["two-year entry", "1,066,451", "107,860", "10.1", "1.3", "1.9", "147,340", "258,774", "262,475", "378,678", "..", "214,572", "126,482"], ["short-lived entry", "1,066,451", "30,646", "2.9", "0.2", "0.4", "19,240", "46,897", "0", "0", "..", "20,680", "11,947"], ["previously active excluded", "1,066,451", "124,221", "11.6", "1.3", "2.1", "150,488", "277,297", "247,819", "355,144", "..", "220,805", "127,594"], ["ever previously active excluded", "1,066,451", "110,596", "10.4", "1.2", "1.9", "139,007", "256,260", "235,158", "334,747", "..", "208,963", "121,396"], ["one year with no pre-existing up", "1,066,451", "109,267", "10.2", "1.2", "1.9", "135,656", "251,905", "230,675", "329,333", "..", "205,335", "118,715"], ["previously active excluded with no up", "1,066,451", "109,237", "10.2", "1.2", "1.9", "135,569", "251,828", "230,608", "329,265", "..", "205,285", "118,671"], ["ever previously active excluded with no up", "1,066,451", "109,186", "10.2", "1.2", "1.9", "135,507", "251,750", "230,531", "329,173", "..", "205,234", "118,652"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | how much percentage of employment using person-job counts do entrants account for if the second-year size of entrants is used? | ["1.9"] |
c6d2b74ca863557a9217e3741a685bd2 | hitab | {"table_id": "129_totto15717-3", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "europe", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["orebro", "2013", "superettan", "29", "0", "3", "0", "0", "0", "32", "0"], ["", "2014", "allsvenskan", "16", "0", "1", "0", "0", "0", "17", "0"], ["", "total", "", "45", "0", "4", "0", "0", "0", "49", "0"], ["career totals", "", "", "45", "0", "4", "0", "0", "0", "49", "0"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which club did ayanda nkili play for in 2013? | ["orebro"] |
be94d563493e06196b634ee9194af2dd | hitab | {"table_id": "129_totto15747-4", "table": {"cells": [["title", "album details", "peak chart positions", "", "", ""], ["", "", "uk", "ger", "nor", "us"], ["tons of sobs", "released: 14 march 1969 label: island format: lp", "-", "-", "-", "197"], ["free", "released: october 1969 label: island format: lp", "65", "86", "32", "177"], ["fire and water", "released: 26 june 1970 label: island formats: lp, cs", "2", "30", "19", "17"], ["highway", "released: december 1970 label: island formats: lp, cs", "4", "43", "-", "190"], ["free at last", "released: june 1972 label: island format: lp", "9", "-", "-", "-"], ["heartbreaker", "released: january 1973 label: island format: lp", "7", "9", "-", "47"], ["\"-\" denotes a release that did not chart or was not issued in that region", "", "", "", "", ""]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what was the peak chart position on the us of tons of sobs? | ["197.0"] |
e809ae19ecffd62404bc5f916f5061d2 | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer and electronic products), 334", "67205", "57364", "9841"], ["communications equipment, 3342", "15658", "13693", "1964"], ["semiconductor and other electronic components, 3344", "30800", "28576", "2224"], ["navigational, measuring, electromedical, and control instruments, 3345", "14478", "9001", "5477"], ["other computer and electronic products, other 334", "6269", "6093", "176"], ["ict services, 51 (part), 5415", "66134", "63805", "2329"], ["software publishers, 5112", "35333", "34296", "1037"], ["telecommunications, 517", "3041", "3037", "4"], ["data processing, hosting, and related services, 518", "6446", "6333", "113"], ["other ict information, other 51a", "12046", "12032", "14"], ["computer systems design and related services, 5415", "9268", "8107", "1161"], ["non-ict industries", "189189", "143743", "45446"], ["food manufacturing, 311", "5028", "4801", "227"], ["pharmaceuticals and medicines, 3254", "52426", "45891", "6534"], ["automobiles, bodies, trailers, and parts, 3361-63", "16729", "14081", "2647"], ["aerospace products and parts, 3364", "27114", "10042", "17072"], ["medical equipment and supplies, 3391", "10954", "10638", "317"], ["manufacturing nec, other 31-33", "42020", "38353", "3668"], ["nonmanufacturing nec, other 21-23, 42-81", "34918", "19937", "14981"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many million dollars of research and development performed by companies in the united states in 2013? | ["322528.0"] |
6da7cbf936aba7e003a6440c5c1a4243 | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer and electronic products), 334", "67205", "57364", "9841"], ["communications equipment, 3342", "15658", "13693", "1964"], ["semiconductor and other electronic components, 3344", "30800", "28576", "2224"], ["navigational, measuring, electromedical, and control instruments, 3345", "14478", "9001", "5477"], ["other computer and electronic products, other 334", "6269", "6093", "176"], ["ict services, 51 (part), 5415", "66134", "63805", "2329"], ["software publishers, 5112", "35333", "34296", "1037"], ["telecommunications, 517", "3041", "3037", "4"], ["data processing, hosting, and related services, 518", "6446", "6333", "113"], ["other ict information, other 51a", "12046", "12032", "14"], ["computer systems design and related services, 5415", "9268", "8107", "1161"], ["non-ict industries", "189189", "143743", "45446"], ["food manufacturing, 311", "5028", "4801", "227"], ["pharmaceuticals and medicines, 3254", "52426", "45891", "6534"], ["automobiles, bodies, trailers, and parts, 3361-63", "16729", "14081", "2647"], ["aerospace products and parts, 3364", "27114", "10042", "17072"], ["medical equipment and supplies, 3391", "10954", "10638", "317"], ["manufacturing nec, other 31-33", "42020", "38353", "3668"], ["nonmanufacturing nec, other 21-23, 42-81", "34918", "19937", "14981"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | of the $323 billion of research and development performed by companies in the united states in 2013, how many percent did ict industries account for? | ["0.413418"] |
e6ea65b2cf26ff312854532eeb384890 | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer and electronic products), 334", "67205", "57364", "9841"], ["communications equipment, 3342", "15658", "13693", "1964"], ["semiconductor and other electronic components, 3344", "30800", "28576", "2224"], ["navigational, measuring, electromedical, and control instruments, 3345", "14478", "9001", "5477"], ["other computer and electronic products, other 334", "6269", "6093", "176"], ["ict services, 51 (part), 5415", "66134", "63805", "2329"], ["software publishers, 5112", "35333", "34296", "1037"], ["telecommunications, 517", "3041", "3037", "4"], ["data processing, hosting, and related services, 518", "6446", "6333", "113"], ["other ict information, other 51a", "12046", "12032", "14"], ["computer systems design and related services, 5415", "9268", "8107", "1161"], ["non-ict industries", "189189", "143743", "45446"], ["food manufacturing, 311", "5028", "4801", "227"], ["pharmaceuticals and medicines, 3254", "52426", "45891", "6534"], ["automobiles, bodies, trailers, and parts, 3361-63", "16729", "14081", "2647"], ["aerospace products and parts, 3364", "27114", "10042", "17072"], ["medical equipment and supplies, 3391", "10954", "10638", "317"], ["manufacturing nec, other 31-33", "42020", "38353", "3668"], ["nonmanufacturing nec, other 21-23, 42-81", "34918", "19937", "14981"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | of the $323 million of research and development performed by companies in the united states in 2013, how many million dollars did ict industries account for? | ["133339.0"] |
0e926d3ba6f493dda88efb973846005f | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer and electronic products), 334", "67205", "57364", "9841"], ["communications equipment, 3342", "15658", "13693", "1964"], ["semiconductor and other electronic components, 3344", "30800", "28576", "2224"], ["navigational, measuring, electromedical, and control instruments, 3345", "14478", "9001", "5477"], ["other computer and electronic products, other 334", "6269", "6093", "176"], ["ict services, 51 (part), 5415", "66134", "63805", "2329"], ["software publishers, 5112", "35333", "34296", "1037"], ["telecommunications, 517", "3041", "3037", "4"], ["data processing, hosting, and related services, 518", "6446", "6333", "113"], ["other ict information, other 51a", "12046", "12032", "14"], ["computer systems design and related services, 5415", "9268", "8107", "1161"], ["non-ict industries", "189189", "143743", "45446"], ["food manufacturing, 311", "5028", "4801", "227"], ["pharmaceuticals and medicines, 3254", "52426", "45891", "6534"], ["automobiles, bodies, trailers, and parts, 3361-63", "16729", "14081", "2647"], ["aerospace products and parts, 3364", "27114", "10042", "17072"], ["medical equipment and supplies, 3391", "10954", "10638", "317"], ["manufacturing nec, other 31-33", "42020", "38353", "3668"], ["nonmanufacturing nec, other 21-23, 42-81", "34918", "19937", "14981"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many times are r&d expenditures of ict industries larger than the pharmaceutical manufacturing industry, the single largest industry in terms of r&d expenditures in the united states? | ["2.418857"] |
ad68d927f4ebe66daf4133ac47c67f67 | hitab | {"table_id": "12_totto1364-0", "table": {"cells": [["club", "season", "league", "", "", "fa cup", "", "league cup", "", "other", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["milton keynes dons", "2008-09", "league one", "7", "1", "0", "0", "0", "0", "0", "0", "7", "1"], ["", "2009-10", "league one", "2", "1", "-", "", "0", "0", "0", "0", "2", "1"], ["", "2010-11", "league one", "29", "9", "1", "0", "0", "0", "2", "1", "32", "10"], ["", "2011-12", "league one", "43", "6", "4", "2", "3", "2", "3", "1", "53", "11"], ["", "2012-13", "league one", "34", "7", "2", "0", "2", "0", "1", "0", "39", "7"], ["", "2013-14", "league one", "32", "1", "3", "0", "0", "0", "1", "0", "36", "1"], ["", "2014-15", "league one", "42", "8", "2", "0", "4", "1", "1", "1", "49", "10"], ["", "2015-16", "championship", "22", "2", "2", "0", "2", "0", "-", "", "26", "2"], ["", "2016-17", "league one", "20", "2", "3", "1", "1", "0", "3", "0", "27", "3"], ["", "total", "", "231", "37", "17", "3", "12", "3", "11", "3", "271", "46"], ["crawley town", "2009-10", "conference premier", "3", "0", "-", "", "3", "0", "none", "none", "none", "none"], ["forest green rovers", "2009-10", "conference premier", "24", "6", "4", "0", "-", "", "1", "0", "29", "6"], ["darlington", "2010-11", "conference premier", "5", "1", "-", "", "5", "1", "none", "none", "none", "none"], ["northampton town", "2017-18", "league one", "29", "2", "1", "0", "0", "0", "2", "0", "32", "2"], ["", "2018-19", "league two", "34", "6", "1", "0", "0", "0", "5", "0", "40", "6"], ["", "total", "", "63", "8", "2", "0", "0", "0", "7", "0", "72", "8"], ["career total", "", "", "326", "52", "23", "3", "12", "3", "19", "3", "380", "61"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | how many goals did powell made with 42 league appearances in 2014-2015, for the milton keynes dons club? | ["8.0"] |
4fb571b9a6ce9fff39473e66bff028ca | hitab | {"table_id": "12_totto1372-1", "table": {"cells": [["year", "single", "peak positions", "", "", "", "", "", "", "", "album"], ["", "", "us aaa", "us alt", "us rock", "bel", "bel", "can rock", "mex air", "ned", ""], ["2008", "taking the farm", "-", "-", "-", "-", "-", "-", "-", "-", "wagonwheel blues"], ["2011", "baby missiles", "-", "-", "-", "-", "-", "-", "-", "-", "slave ambient"], ["", "come to the city", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["2012", "best night", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["2013", "red eyes", "-", "-", "-", "37", "-", "-", "48", "-", "lost in the dream"], ["2014", "under the pressure", "19", "-", "-", "-", "-", "-", "-", "-", ""], ["", "burning", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["", "eyes to the wind", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["2015", "an ocean in between the waves", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["2017", "thinking of a place", "-", "-", "-", "37", "-", "-", "23", "-", "a deeper understanding"], ["", "holding on", "3", "35", "-", "-", "-", "44", "-", "-", ""], ["", "strangest thing", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["", "pain", "1", "-", "49", "-", "-", "46", "-", "-", ""], ["", "up all night", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["2018", "nothing to find", "-", "-", "-", "-", "-", "-", "-", "-", ""], ["\"-\" denotes a recording that did not chart or was not released in that territory", "", "", "", "", "", "", "", "", "", ""]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | in 2007, which album was relased by the war on drugs and had a song called "holding on"? | ["a deeper understanding"] |
61f90b8b041fd8a3ae23e53e304705cd | hitab | {"table_id": "12_totto1401-2", "table": {"cells": [["year", "host", "final", "", "", "third place match", "", ""], ["", "", "winner", "score", "runner-up", "3rd place", "score", "4th place"], ["2006 details", "occitania", "sapmi", "21-1", "monaco", "occitania", "w/o", "southern cameroons"], ["2008 details", "sapmi", "padania", "2-0", "arameans suryoye", "sapmi", "3-1", "kurdistan"], ["2009 details", "padania", "padania", "2-0", "kurdistan", "sapmi", "4-4", "provence"], ["2010 details", "gozo", "padania", "1-0", "kurdistan", "occitania", "2-0", "two sicilies"], ["2012 details", "kurdistan", "kurdistan", "2-1", "northern cyprus", "zanzibar", "7-2", "provence"]], "top_header_rows_num": 3, "left_header_columns_num": 2}} | None | None | what is the final result for the first viva world cup? | ["21-1"] |
91f06c00d632b2e70ef5a54ed4d0f524 | hitab | {"table_id": "12_totto1410-3", "table": {"cells": [["year", "team", "games", "", "receiving", "", "", "", "", "rushing", "", "", "", "", "fumbles", ""], ["", "", "g", "gs", "rec", "yds", "avg", "lng", "td", "att", "yds", "avg", "lng", "td", "fmb", "lst"], ["1990", "pittsburgh steelers", "16", "2", "10", "124", "12.4", "20t", "1", "0", "0", "0.0", "0", "0", "0", "0"], ["1991", "pittsburgh steelers", "12", "0", "15", "254", "16.9", "33t", "1", "0", "0", "0.0", "0", "0", "0", "0"], ["1992", "new york giants", "16", "1", "27", "335", "12.4", "28", "1", "0", "12", "0.0", "0", "0", "0", "0"], ["1993", "new york giants", "16", "9", "35", "513", "14.7", "47", "3", "0", "0", "0.0", "6", "0", "0", "0"], ["1994", "new york giants", "16", "14", "43", "666", "15.5", "51t", "2", "8", "77", "9.6", "20", "0", "1", "1"], ["1995", "new york giants", "16", "15", "56", "796", "14.2", "49", "3", "2", "9", "4.5", "3", "0", "0", "0"], ["1996", "new york giants", "16", "15", "53", "739", "13.9", "36", "4", "1", "2", "2.0", "2", "0", "1", "1"], ["1997", "new york giants", "16", "16", "58", "849", "14.6", "68t", "8", "1", "1", "1.0", "1", "0", "0", "0"], ["1998", "new york giants", "16", "16", "62", "812", "13.1", "36", "6", "0", "0", "0.0", "0", "0", "1", "1"], ["1999", "atlanta falcons", "11", "6", "22", "314", "14.3", "33", "1", "0", "0", "0.0", "0", "0", "0", "0"], ["2000", "new england patriots", "7", "2", "5", "95", "19.0", "28", "0", "0", "0", "0.0", "0", "0", "none", "none"], ["career", "", "158", "96", "386", "5,497", "14.2", "68", "30", "12", "69", "5.8", "20", "0", "3", "3"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which year did chris calloway perform the best? | ["1997.0"] |
85b1cad37cc32edcf4317e6cfe61be1e | hitab | {"table_id": "12_totto1420-4", "table": {"cells": [["nhl season", "canadiens season", "conference", "division", "regular season", "", "", "", "", "", "", "", "", "postseason", "", "", "", "", ""], ["", "", "", "", "gp", "w", "l", "t", "ot", "gf", "ga", "pts", "finish", "gp", "w", "l", "gf", "ga", "result"], ["1967-68", "1967-68", "-", "east", "74", "42", "22", "10", "-", "236", "167", "94", "1st", "13", "12", "1", "48", "25", "won quarterfinals vs. boston bruins, 4-0 won semifinals vs"], ["1968-69", "1968-69", "-", "east", "76", "46", "19", "11", "-", "271", "202", "103", "1st", "14", "12", "2", "43", "26", "won quarterfinals vs. new york rangers, 4-0 won semifinals vs"], ["1969-70", "1969-70", "-", "east", "76", "38", "22", "16", "-", "244", "201", "92", "5th", "-", "-", "-", "-", "-", "did not qualify"], ["1970-71", "1970-71", "-", "east", "78", "42", "23", "13", "-", "291", "216", "97", "3rd", "20", "12", "8", "75", "63", "won quarterfinals vs. boston bruins, 4-3 won semifinals vs"], ["1971-72", "1971-72", "-", "east", "78", "46", "16", "16", "-", "307", "205", "108", "3rd", "6", "2", "4", "14", "19", "lost quarterfinals to new york rangers, 2-4"], ["1972-73", "1972-73", "-", "east", "78", "52", "10", "16", "-", "329", "184", "120", "1st", "17", "12", "5", "73", "52", "won quarterfinals vs. buffalo sabres, 4-2 won semifinals vs"], ["1973-74", "1973-74", "-", "east", "78", "45", "24", "9", "-", "293", "240", "99", "2nd", "6", "2", "4", "17", "21", "lost quarterfinals to new york rangers, 2-4"], ["1974-75", "1974-75", "wales", "norris", "80", "47", "14", "19", "-", "374", "225", "113", "1st", "11", "6", "5", "49", "30", "won quarterfinals vs. vancouver canucks, 4-1 lost semifinals to buffalo sabres, 2-4"], ["1975-76", "1975-76", "wales", "norris", "80", "58", "11", "11", "-", "337", "174", "127", "1st", "13", "12", "1", "44", "26", "won quarterfinals vs. chicago black hawks, 4-0 won semifinals vs"], ["1976-77", "1976-77", "wales", "norris", "80", "60", "8", "12", "-", "387", "171", "132", "1st", "14", "12", "2", "54", "23", "won quarterfinals vs. st"], ["1977-78", "1977-78", "wales", "norris", "80", "59", "10", "11", "-", "359", "183", "129", "1st", "15", "12", "3", "58", "29", "won quarterfinals vs. detroit red wings, 4-1 won semifinals vs"], ["1978-79", "1978-79", "wales", "norris", "80", "52", "17", "11", "-", "337", "204", "115", "1st", "16", "12", "4", "63", "41", "won quarterfinals vs. toronto maple leafs, 4-0 won semifinals vs"], ["1979-80", "1979-80", "wales", "norris", "80", "47", "20", "13", "-", "328", "240", "107", "1st", "10", "6", "4", "39", "26", "won preliminary round vs. hartford whalers, 3-0 lost quarterfinals to minnesota north stars, 3-4"], ["1980-81", "1980-81", "wales", "norris", "80", "45", "22", "13", "-", "332", "232", "103", "1st", "3", "0", "3", "6", "15", "lost preliminary round to edmonton oilers, 0-3"], ["1981-82", "1981-82", "wales", "adams", "80", "46", "17", "17", "-", "360", "223", "109", "1st", "5", "2", "3", "16", "11", "lost division semifinals to quebec nordiques, 2-3"], ["1982-83", "1982-83", "wales", "adams", "80", "42", "24", "14", "-", "350", "286", "98", "2nd", "3", "0", "3", "2", "8", "lost division semifinals to buffalo sabres, 0-3"], ["1983-84", "1983-84", "wales", "adams", "80", "35", "40", "5", "-", "286", "295", "75", "4th", "15", "9", "6", "42", "32", "won division semifinals vs. boston bruins, 3-0 won division finals vs"], ["1984-85", "1984-85", "wales", "adams", "80", "41", "27", "12", "-", "309", "262", "94", "1st", "12", "6", "6", "43", "41", "won division semifinals vs. boston bruins, 3-2 lost division finals to quebec nordiques, 3-4"], ["1985-86", "1985-86", "wales", "adams", "80", "40", "33", "7", "-", "330", "280", "87", "2nd", "20", "15", "5", "56", "41", "won division semifinals vs. boston bruins, 3-0 won division finals vs"], ["1986-87", "1986-87", "wales", "adams", "80", "41", "29", "10", "-", "277", "241", "92", "2nd", "17", "10", "7", "67", "54", "won division semifinals vs. boston bruins, 4-0 won division finals vs"], ["1987-88", "1987-88", "wales", "adams", "80", "45", "22", "13", "-", "298", "238", "103", "1st", "11", "5", "6", "33", "35", "won division semifinals vs. hartford whalers, 4-2 lost division finals to boston bruins, 1-4"], ["1988-89", "1988-89", "wales", "adams", "80", "53", "18", "9", "-", "315", "218", "115", "1st", "21", "14", "7", "67", "51", "won division semifinals vs. hartford whalers, 4-0 won division finals vs"], ["1989-90", "1989-90", "wales", "adams", "80", "41", "28", "11", "-", "288", "234", "93", "3rd", "11", "5", "6", "29", "29", "won division semifinals vs. buffalo sabres, 4-2 lost division finals to boston bruins, 1-4"], ["1990-91", "1990-91", "wales", "adams", "80", "39", "30", "11", "-", "273", "249", "89", "2nd", "13", "7", "6", "47", "42", "won division semifinals vs. buffalo sabres, 4-2 lost division finals to boston bruins, 3-4"], ["1991-92", "1991-92", "wales", "adams", "80", "41", "28", "11", "-", "267", "207", "93", "1st", "11", "4", "7", "29", "32", "won division semifinals vs. hartford whalers, 4-3 lost division finals to boston bruins, 0-4"], ["1992-93", "1992-93", "wales", "adams", "84", "48", "30", "6", "-", "326", "280", "102", "3rd", "20", "16", "4", "66", "51", "won division semifinals vs. quebec nordiques, 4-2 won division finals vs"], ["1993-94", "1993-94", "eastern", "northeast", "84", "41", "29", "14", "-", "283", "248", "96", "3rd", "7", "3", "4", "20", "22", "lost conference quarterfinals to boston bruins, 3-4"], ["1994-95", "1994-95", "eastern", "northeast", "48", "18", "23", "7", "-", "125", "148", "43", "6th", "-", "-", "-", "-", "-", "did not qualify"], ["1995-96", "1995-96", "eastern", "northeast", "82", "40", "32", "10", "-", "265", "248", "90", "3rd", "6", "2", "4", "17", "19", "lost conference quarterfinals to new york rangers, 2-4"], ["1996-97", "1996-97", "eastern", "northeast", "82", "31", "36", "15", "-", "249", "276", "77", "4th", "5", "1", "4", "11", "22", "lost conference quarterfinals to new jersey devils, 1-4"], ["1997-98", "1997-98", "eastern", "northeast", "82", "37", "32", "13", "-", "235", "208", "87", "4th", "10", "4", "6", "28", "32", "won conference quarterfinals vs. pittsburgh penguins, 4-2 lost conference semifinals to buffalo sabres, 0-4"], ["1998-99", "1998-99", "eastern", "northeast", "82", "32", "39", "11", "-", "184", "209", "75", "5th", "-", "-", "-", "-", "-", "did not qualify"], ["1999-2000", "1999-2000", "eastern", "northeast", "82", "35", "34", "9", "4", "196", "194", "83", "4th", "-", "-", "-", "-", "-", "did not qualify"], ["2000-01", "2000-01", "eastern", "northeast", "82", "28", "40", "8", "6", "206", "232", "70", "5th", "-", "-", "-", "-", "-", "did not qualify"], ["2001-02", "2001-02", "eastern", "northeast", "82", "36", "31", "12", "3", "207", "209", "87", "4th", "12", "6", "6", "32", "39", "won conference quarterfinals vs. boston bruins, 4-2 lost conference semifinals to carolina hurricanes, 2-4"], ["2002-03", "2002-03", "eastern", "northeast", "82", "30", "35", "8", "9", "206", "234", "77", "4th", "-", "-", "-", "-", "-", "did not qualify"], ["2003-04", "2003-04", "eastern", "northeast", "82", "41", "30", "7", "4", "208", "192", "93", "4th", "11", "4", "7", "24", "28", "won conference quarterfinals vs. boston bruins, 4-3 lost conference semifinals to tampa bay lightning, 0-4"], ["2004-05", "2004-05", "eastern", "northeast", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "no postseason due to lockout"], ["2005-06", "2005-06", "eastern", "northeast", "82", "42", "31", "-", "9", "243", "247", "93", "3rd", "6", "2", "4", "17", "15", "lost conference quarterfinals to carolina hurricanes, 2-4"], ["2006-07", "2006-07", "eastern", "northeast", "82", "42", "34", "-", "6", "245", "256", "90", "4th", "-", "-", "-", "-", "-", "did not qualify"], ["2007-08", "2007-08", "eastern", "northeast", "82", "47", "25", "-", "10", "262", "222", "104", "1st", "12", "5", "7", "33", "35", "won conference quarterfinals vs. boston bruins, 4-3 lost conference semifinals to philadelphia flyers, 1-4"], ["2008-09", "2008-09", "eastern", "northeast", "82", "41", "30", "-", "11", "249", "247", "93", "2nd", "4", "0", "4", "6", "17", "lost conference quarterfinals to boston bruins, 0-4"], ["2009-10", "2009-10", "eastern", "northeast", "82", "39", "33", "-", "10", "217", "223", "88", "4th", "19", "9", "10", "46", "57", "won conference quarterfinals vs. washington capitals, 4-3 won conference semifinals vs"], ["2010-11", "2010-11", "eastern", "northeast", "82", "44", "30", "-", "8", "216", "209", "96", "2nd", "7", "3", "4", "17", "17", "lost conference quarterfinals to boston bruins, 3-4"], ["2011-12", "2011-12", "eastern", "northeast", "82", "31", "35", "-", "16", "212", "226", "78", "5th", "-", "-", "-", "-", "-", "did not qualify"], ["2012-13", "2012-13", "eastern", "northeast", "48", "29", "14", "-", "5", "149", "126", "63", "1st", "5", "1", "4", "9", "20", "lost conference quarterfinals to ottawa senators, 1-4"], ["2013-14", "2013-14", "eastern", "atlantic", "82", "46", "28", "-", "8", "215", "204", "100", "3rd", "17", "10", "7", "51", "46", "won first round vs. tampa bay lightning, 4-0 won second round vs"], ["2014-15", "2014-15", "eastern", "atlantic", "82", "50", "22", "-", "10", "221", "189", "110", "1st", "12", "6", "6", "25", "29", "won first round vs. ottawa senators, 4-2 lost second round to tampa bay lightning, 2-4"], ["2015-16", "2015-16", "eastern", "atlantic", "82", "38", "38", "-", "6", "221", "236", "82", "6th", "-", "-", "-", "-", "-", "did not qualify"], ["2016-17", "2016-17", "eastern", "atlantic", "82", "47", "26", "-", "9", "226", "200", "103", "1st", "6", "2", "4", "11", "14", "lost first round to new york rangers, 2-4"], ["2017-18", "2017-18", "eastern", "atlantic", "82", "29", "40", "-", "13", "209", "264", "71", "6th", "-", "-", "-", "-", "-", "did not qualify"], ["2018-19", "2018-19", "eastern", "atlantic", "82", "44", "30", "-", "8", "249", "236", "96", "4th", "-", "-", "-", "-", "-", "did not qualify"], ["totals, 1967-present", "", "", "", "4046", "2129", "1341", "421", "155", "13602", "11340", "4834", "-", "456", "263", "193", "1427", "1235", "none"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | during the 1972-73 montreal canadiens season, what is the final result for canadiens? | ["1st"] |
7e34d7cab8d8dcffb1dc9866cf3b8548 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], ["aged 2 to 8 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "2,885", "6.7", "5.3", "8.4", "65.7", "62.5", "68.7", "27.6", "24.8", "30.7"], ["2015", "1,511", "14.1", "11.1", "17.8", "67.9", "63.8", "71.7", "18.0", "15.1", "21.2"], ["aged 9 to 18 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "6,311", "16.5", "15.0", "18.1", "61.5", "59.5", "63.6", "22.0", "20.4", "23.7"], ["2015", "3,212", "26.3", "23.9", "28.9", "60.9", "58.1", "63.7", "12.8", "11.0", "14.8"], ["aged 19 years and older", "", "", "", "", "", "", "", "", "", ""], ["both sexes", "", "", "", "", "", "", "", "", "", ""], ["2004", "18,578", "28.2", "27.0", "29.4", "58.2", "56.8", "59.6", "13.6", "12.6", "14.6"], ["2015", "12,578", "34.5", "32.8", "36.2", "58.1", "56.4", "59.8", "7.4", "6.6", "8.3"], ["males", "", "", "", "", "", "", "", "", "", ""], ["2004", "8,563", "28.6", "26.7", "30.5", "57.3", "55.3", "59.3", "14.1", "12.8", "15.6"], ["2015", "6,160", "34.2", "31.9", "36.6", "58.1", "55.7", "60.5", "7.7", "6.5", "9.0"], ["females", "", "", "", "", "", "", "", "", "", ""], ["2004", "10,015", "27.8", "26.2", "29.5", "59.2", "57.2", "61.1", "13.0", "11.6", "14.5"], ["2015", "6,418", "34.8", "32.5", "37.1", "58.1", "55.7", "60.4", "7.1", "6.2", "8.2"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | which year has a higher number of under-reporters regardless of age or sex? | ["2015.0"] |
f857c924f3f3086c975d60edff301f54 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], ["aged 2 to 8 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "2,885", "6.7", "5.3", "8.4", "65.7", "62.5", "68.7", "27.6", "24.8", "30.7"], ["2015", "1,511", "14.1", "11.1", "17.8", "67.9", "63.8", "71.7", "18.0", "15.1", "21.2"], ["aged 9 to 18 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "6,311", "16.5", "15.0", "18.1", "61.5", "59.5", "63.6", "22.0", "20.4", "23.7"], ["2015", "3,212", "26.3", "23.9", "28.9", "60.9", "58.1", "63.7", "12.8", "11.0", "14.8"], ["aged 19 years and older", "", "", "", "", "", "", "", "", "", ""], ["both sexes", "", "", "", "", "", "", "", "", "", ""], ["2004", "18,578", "28.2", "27.0", "29.4", "58.2", "56.8", "59.6", "13.6", "12.6", "14.6"], ["2015", "12,578", "34.5", "32.8", "36.2", "58.1", "56.4", "59.8", "7.4", "6.6", "8.3"], ["males", "", "", "", "", "", "", "", "", "", ""], ["2004", "8,563", "28.6", "26.7", "30.5", "57.3", "55.3", "59.3", "14.1", "12.8", "15.6"], ["2015", "6,160", "34.2", "31.9", "36.6", "58.1", "55.7", "60.5", "7.7", "6.5", "9.0"], ["females", "", "", "", "", "", "", "", "", "", ""], ["2004", "10,015", "27.8", "26.2", "29.5", "59.2", "57.2", "61.1", "13.0", "11.6", "14.5"], ["2015", "6,418", "34.8", "32.5", "37.1", "58.1", "55.7", "60.4", "7.1", "6.2", "8.2"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | how many times has the percentage of under-reporters increased in the youngest age group? | ["2.104478"] |
d404577798c80e4ce775932c21fba950 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], ["aged 2 to 8 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "2,885", "6.7", "5.3", "8.4", "65.7", "62.5", "68.7", "27.6", "24.8", "30.7"], ["2015", "1,511", "14.1", "11.1", "17.8", "67.9", "63.8", "71.7", "18.0", "15.1", "21.2"], ["aged 9 to 18 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "6,311", "16.5", "15.0", "18.1", "61.5", "59.5", "63.6", "22.0", "20.4", "23.7"], ["2015", "3,212", "26.3", "23.9", "28.9", "60.9", "58.1", "63.7", "12.8", "11.0", "14.8"], ["aged 19 years and older", "", "", "", "", "", "", "", "", "", ""], ["both sexes", "", "", "", "", "", "", "", "", "", ""], ["2004", "18,578", "28.2", "27.0", "29.4", "58.2", "56.8", "59.6", "13.6", "12.6", "14.6"], ["2015", "12,578", "34.5", "32.8", "36.2", "58.1", "56.4", "59.8", "7.4", "6.6", "8.3"], ["males", "", "", "", "", "", "", "", "", "", ""], ["2004", "8,563", "28.6", "26.7", "30.5", "57.3", "55.3", "59.3", "14.1", "12.8", "15.6"], ["2015", "6,160", "34.2", "31.9", "36.6", "58.1", "55.7", "60.5", "7.7", "6.5", "9.0"], ["females", "", "", "", "", "", "", "", "", "", ""], ["2004", "10,015", "27.8", "26.2", "29.5", "59.2", "57.2", "61.1", "13.0", "11.6", "14.5"], ["2015", "6,418", "34.8", "32.5", "37.1", "58.1", "55.7", "60.4", "7.1", "6.2", "8.2"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | which group of people has been dereased from 2004 to 2015 significantly mostly? | ["over-reporters"] |
8c8bdb6e9f29537e77c6552de940f993 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], ["aged 2 to 8 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "2,885", "6.7", "5.3", "8.4", "65.7", "62.5", "68.7", "27.6", "24.8", "30.7"], ["2015", "1,511", "14.1", "11.1", "17.8", "67.9", "63.8", "71.7", "18.0", "15.1", "21.2"], ["aged 9 to 18 years", "", "", "", "", "", "", "", "", "", ""], ["2004", "6,311", "16.5", "15.0", "18.1", "61.5", "59.5", "63.6", "22.0", "20.4", "23.7"], ["2015", "3,212", "26.3", "23.9", "28.9", "60.9", "58.1", "63.7", "12.8", "11.0", "14.8"], ["aged 19 years and older", "", "", "", "", "", "", "", "", "", ""], ["both sexes", "", "", "", "", "", "", "", "", "", ""], ["2004", "18,578", "28.2", "27.0", "29.4", "58.2", "56.8", "59.6", "13.6", "12.6", "14.6"], ["2015", "12,578", "34.5", "32.8", "36.2", "58.1", "56.4", "59.8", "7.4", "6.6", "8.3"], ["males", "", "", "", "", "", "", "", "", "", ""], ["2004", "8,563", "28.6", "26.7", "30.5", "57.3", "55.3", "59.3", "14.1", "12.8", "15.6"], ["2015", "6,160", "34.2", "31.9", "36.6", "58.1", "55.7", "60.5", "7.7", "6.5", "9.0"], ["females", "", "", "", "", "", "", "", "", "", ""], ["2004", "10,015", "27.8", "26.2", "29.5", "59.2", "57.2", "61.1", "13.0", "11.6", "14.5"], ["2015", "6,418", "34.8", "32.5", "37.1", "58.1", "55.7", "60.4", "7.1", "6.2", "8.2"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | what is the most prevalent misreporting status? | ["plausible reporters"] |
2da2d6ac5ea1d45d10462dd720f9ecf9 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.41", "0.53", "0.53"], ["childless women, no diploma", "0.51", "0.61", "0.44"], ["early mothers, with diploma", "0.59", "0.74", "0.67"], ["other mothers, with diploma", "0.65", "0.77", "0.64"], ["childless women, with diploma", "0.80", "0.83", "0.76"], ["age group", "", "", ""], ["20 to 24 years", "0.50", "0.69", "0.45"], ["25 to 29 years", "0.55", "0.72", "0.56"], ["30 to 34 years", "0.64", "0.73", "0.56"], ["35 to 39 years", "0.66", "0.76", "0.67"], ["40 to 44 years", "0.72", "0.76", "0.58"], ["inuit nunangat", "", "", ""], ["yes", "..", "..", "0.56"], ["no", "..", "..", "0.55"], ["student", "", "", ""], ["yes", "0.55", "0.71", "0.43"], ["no", "0.64", "0.74", "0.57"], ["living arrangements", "", "", ""], ["couple without children", "0.70", "0.77", "0.51"], ["couple with children", "0.63", "0.73", "0.60"], ["lone parent", "0.57", "0.72", "0.49"], ["one-person household", "0.67", "0.71", "0.39"], ["other", "0.74", "0.76", "0.48"], ["self-perceived overall health status", "", "", ""], ["poor", "0.44", "0.57", "0.40"], ["good", "0.70", "0.78", "0.59"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what is the likelihood of being employed among off-reserve first nations mothers without a high school diploma who become mothers in their teens? | ["0.4"] |
607deb5bb0a513c4236daffa85ef1b6f | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.41", "0.53", "0.53"], ["childless women, no diploma", "0.51", "0.61", "0.44"], ["early mothers, with diploma", "0.59", "0.74", "0.67"], ["other mothers, with diploma", "0.65", "0.77", "0.64"], ["childless women, with diploma", "0.80", "0.83", "0.76"], ["age group", "", "", ""], ["20 to 24 years", "0.50", "0.69", "0.45"], ["25 to 29 years", "0.55", "0.72", "0.56"], ["30 to 34 years", "0.64", "0.73", "0.56"], ["35 to 39 years", "0.66", "0.76", "0.67"], ["40 to 44 years", "0.72", "0.76", "0.58"], ["inuit nunangat", "", "", ""], ["yes", "..", "..", "0.56"], ["no", "..", "..", "0.55"], ["student", "", "", ""], ["yes", "0.55", "0.71", "0.43"], ["no", "0.64", "0.74", "0.57"], ["living arrangements", "", "", ""], ["couple without children", "0.70", "0.77", "0.51"], ["couple with children", "0.63", "0.73", "0.60"], ["lone parent", "0.57", "0.72", "0.49"], ["one-person household", "0.67", "0.71", "0.39"], ["other", "0.74", "0.76", "0.48"], ["self-perceived overall health status", "", "", ""], ["poor", "0.44", "0.57", "0.40"], ["good", "0.70", "0.78", "0.59"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what is the likelihood of being employed among off-reserve first nations mothers without a high school diploma who become mothers later in life? | ["0.41"] |
fe6f23e21ab61c1b77124b7dd8e58b45 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.41", "0.53", "0.53"], ["childless women, no diploma", "0.51", "0.61", "0.44"], ["early mothers, with diploma", "0.59", "0.74", "0.67"], ["other mothers, with diploma", "0.65", "0.77", "0.64"], ["childless women, with diploma", "0.80", "0.83", "0.76"], ["age group", "", "", ""], ["20 to 24 years", "0.50", "0.69", "0.45"], ["25 to 29 years", "0.55", "0.72", "0.56"], ["30 to 34 years", "0.64", "0.73", "0.56"], ["35 to 39 years", "0.66", "0.76", "0.67"], ["40 to 44 years", "0.72", "0.76", "0.58"], ["inuit nunangat", "", "", ""], ["yes", "..", "..", "0.56"], ["no", "..", "..", "0.55"], ["student", "", "", ""], ["yes", "0.55", "0.71", "0.43"], ["no", "0.64", "0.74", "0.57"], ["living arrangements", "", "", ""], ["couple without children", "0.70", "0.77", "0.51"], ["couple with children", "0.63", "0.73", "0.60"], ["lone parent", "0.57", "0.72", "0.49"], ["one-person household", "0.67", "0.71", "0.39"], ["other", "0.74", "0.76", "0.48"], ["self-perceived overall health status", "", "", ""], ["poor", "0.44", "0.57", "0.40"], ["good", "0.70", "0.78", "0.59"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what is the likelihood of being employed among off-reserve first nations early mothers with a diploma? | ["0.59"] |
0a7283a7703ab15e752b9a6a4caef850 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.41", "0.53", "0.53"], ["childless women, no diploma", "0.51", "0.61", "0.44"], ["early mothers, with diploma", "0.59", "0.74", "0.67"], ["other mothers, with diploma", "0.65", "0.77", "0.64"], ["childless women, with diploma", "0.80", "0.83", "0.76"], ["age group", "", "", ""], ["20 to 24 years", "0.50", "0.69", "0.45"], ["25 to 29 years", "0.55", "0.72", "0.56"], ["30 to 34 years", "0.64", "0.73", "0.56"], ["35 to 39 years", "0.66", "0.76", "0.67"], ["40 to 44 years", "0.72", "0.76", "0.58"], ["inuit nunangat", "", "", ""], ["yes", "..", "..", "0.56"], ["no", "..", "..", "0.55"], ["student", "", "", ""], ["yes", "0.55", "0.71", "0.43"], ["no", "0.64", "0.74", "0.57"], ["living arrangements", "", "", ""], ["couple without children", "0.70", "0.77", "0.51"], ["couple with children", "0.63", "0.73", "0.60"], ["lone parent", "0.57", "0.72", "0.49"], ["one-person household", "0.67", "0.71", "0.39"], ["other", "0.74", "0.76", "0.48"], ["self-perceived overall health status", "", "", ""], ["poor", "0.44", "0.57", "0.40"], ["good", "0.70", "0.78", "0.59"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what is the likelihood of being employed among inuit women, those who have at least a high school diploma and who become mothers in their teenage years? | ["0.67"] |
cffbc73601dc949be8e9e5236bcb47a9 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.41", "0.53", "0.53"], ["childless women, no diploma", "0.51", "0.61", "0.44"], ["early mothers, with diploma", "0.59", "0.74", "0.67"], ["other mothers, with diploma", "0.65", "0.77", "0.64"], ["childless women, with diploma", "0.80", "0.83", "0.76"], ["age group", "", "", ""], ["20 to 24 years", "0.50", "0.69", "0.45"], ["25 to 29 years", "0.55", "0.72", "0.56"], ["30 to 34 years", "0.64", "0.73", "0.56"], ["35 to 39 years", "0.66", "0.76", "0.67"], ["40 to 44 years", "0.72", "0.76", "0.58"], ["inuit nunangat", "", "", ""], ["yes", "..", "..", "0.56"], ["no", "..", "..", "0.55"], ["student", "", "", ""], ["yes", "0.55", "0.71", "0.43"], ["no", "0.64", "0.74", "0.57"], ["living arrangements", "", "", ""], ["couple without children", "0.70", "0.77", "0.51"], ["couple with children", "0.63", "0.73", "0.60"], ["lone parent", "0.57", "0.72", "0.49"], ["one-person household", "0.67", "0.71", "0.39"], ["other", "0.74", "0.76", "0.48"], ["self-perceived overall health status", "", "", ""], ["poor", "0.44", "0.57", "0.40"], ["good", "0.70", "0.78", "0.59"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which kind of inuit women have higher probability to be employed, women who had at least a high school diploma and who became mothers in their teenage years or early mothers who did not complete high school? | ["early mothers, with diploma"] |
7bd78aa1c36ef8c768939db9776c920b | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.41", "0.53", "0.53"], ["childless women, no diploma", "0.51", "0.61", "0.44"], ["early mothers, with diploma", "0.59", "0.74", "0.67"], ["other mothers, with diploma", "0.65", "0.77", "0.64"], ["childless women, with diploma", "0.80", "0.83", "0.76"], ["age group", "", "", ""], ["20 to 24 years", "0.50", "0.69", "0.45"], ["25 to 29 years", "0.55", "0.72", "0.56"], ["30 to 34 years", "0.64", "0.73", "0.56"], ["35 to 39 years", "0.66", "0.76", "0.67"], ["40 to 44 years", "0.72", "0.76", "0.58"], ["inuit nunangat", "", "", ""], ["yes", "..", "..", "0.56"], ["no", "..", "..", "0.55"], ["student", "", "", ""], ["yes", "0.55", "0.71", "0.43"], ["no", "0.64", "0.74", "0.57"], ["living arrangements", "", "", ""], ["couple without children", "0.70", "0.77", "0.51"], ["couple with children", "0.63", "0.73", "0.60"], ["lone parent", "0.57", "0.72", "0.49"], ["one-person household", "0.67", "0.71", "0.39"], ["other", "0.74", "0.76", "0.48"], ["self-perceived overall health status", "", "", ""], ["poor", "0.44", "0.57", "0.40"], ["good", "0.70", "0.78", "0.59"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which kind of inuit women are less likely to be employed, women without a diploma and without children or women who completed high school and were early mothers? | ["childless women, no diploma"] |
43f70713aab49d3bc57391bc4b9e620b | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", "10,206,710", "100.0", "1.00", "10,842,115", "100.0", "10,842,365", "100.0", "1.00"], ["age group", "", "", "", "", "", "", "", "", "", ""], ["19 to 24", "1,141,795", "11.2", "1,141,995", "11.2", "1.00", "1,131,940", "10.4", "1,131,885", "10.4", "1.00"], ["25 to 44", "4,593,575", "45.0", "4,593,895", "45.0", "1.00", "4,727,645", "43.6", "4,727,545", "43.6", "1.00"], ["45 to 64", "3,053,565", "29.9", "3,053,435", "29.9", "1.00", "3,120,510", "28.8", "3,120,590", "28.8", "1.00"], ["65 to 84", "1,342,960", "13.2", "1,342,775", "13.2", "1.00", "1,712,415", "15.8", "1,712,690", "15.8", "1.00"], ["85 and older", "74,620", "0.7", "74,615", "0.7", "1.00", "149,605", "1.4", "149,655", "1.4", "1.00"], ["marital status", "", "", "", "", "", "", "", "", "", ""], ["not married or common-law", "3,120,945", "30.6", "3,199,100", "31.3", "0.98", "3,712,885", "34.2", "3,758,655", "34.7", "0.99"], ["married or common-law", "7,085,565", "69.4", "7,007,610", "68.7", "1.01", "7,129,230", "65.8", "7,083,715", "65.3", "1.01"], ["highest level of education", "", "", "", "", "", "", "", "", "", ""], ["less than secondary diploma", "3,176,250", "31.1", "3,176,275", "31.1", "1.00", "3,452,265", "31.8", "3,452,445", "31.8", "1.00"], ["secondary diploma or higher", "7,030,260", "68.9", "7,030,435", "68.9", "1.00", "7,389,850", "68.2", "7,389,920", "68.2", "1.00"], ["labour force participation", "", "", "", "", "", "", "", "", "", ""], ["employed", "6,939,605", "68.0", "6,940,800", "68.0", "1.00", "5,884,020", "54.3", "5,892,415", "54.3", "1.00"], ["unemployed", "754,980", "7.4", "757,865", "7.4", "1.00", "621,255", "5.7", "624,980", "5.8", "0.99"], ["not in labour force", "2,511,925", "24.6", "2,508,045", "24.6", "1.00", "4,336,840", "40.0", "4,324,975", "39.9", "1.00"], ["visible minority status", "", "", "", "", "", "", "", "", "", ""], ["not a visible minority", "9,148,165", "89.6", "9,147,425", "89.6", "1.00", "9,692,110", "89.4", "9,691,025", "89.4", "1.00"], ["visible minority", "1,058,345", "10.4", "1,059,285", "10.4", "1.00", "1,150,005", "10.6", "1,151,340", "10.6", "1.00"], ["mobility in the past year", "", "", "", "", "", "", "", "", "", ""], ["did not move", "8,617,990", "84.4", "8,580,945", "84.1", "1.00", "9,177,530", "84.6", "9,188,810", "84.7", "1.00"], ["moved", "1,588,520", "15.6", "1,625,760", "15.9", "0.98", "1,664,585", "15.4", "1,653,560", "15.3", "1.01"], ["rural or urban", "", "", "", "", "", "", "", "", "", ""], ["rural", "2,332,320", "22.9", "2,288,305", "22.4", "1.02", "2,236,520", "20.6", "2,206,110", "20.3", "1.01"], ["urban", "7,874,190", "77.1", "7,918,400", "77.6", "0.99", "8,605,600", "79.4", "8,636,255", "79.7", "1.00"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | which characteristics of men cohort were slightly underrepresented among all the characteristics? | ["not married or common-law", "urban", "moved"] |
d3e55115aebf02529badddd44907ac51 | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", "10,206,710", "100.0", "1.00", "10,842,115", "100.0", "10,842,365", "100.0", "1.00"], ["age group", "", "", "", "", "", "", "", "", "", ""], ["19 to 24", "1,141,795", "11.2", "1,141,995", "11.2", "1.00", "1,131,940", "10.4", "1,131,885", "10.4", "1.00"], ["25 to 44", "4,593,575", "45.0", "4,593,895", "45.0", "1.00", "4,727,645", "43.6", "4,727,545", "43.6", "1.00"], ["45 to 64", "3,053,565", "29.9", "3,053,435", "29.9", "1.00", "3,120,510", "28.8", "3,120,590", "28.8", "1.00"], ["65 to 84", "1,342,960", "13.2", "1,342,775", "13.2", "1.00", "1,712,415", "15.8", "1,712,690", "15.8", "1.00"], ["85 and older", "74,620", "0.7", "74,615", "0.7", "1.00", "149,605", "1.4", "149,655", "1.4", "1.00"], ["marital status", "", "", "", "", "", "", "", "", "", ""], ["not married or common-law", "3,120,945", "30.6", "3,199,100", "31.3", "0.98", "3,712,885", "34.2", "3,758,655", "34.7", "0.99"], ["married or common-law", "7,085,565", "69.4", "7,007,610", "68.7", "1.01", "7,129,230", "65.8", "7,083,715", "65.3", "1.01"], ["highest level of education", "", "", "", "", "", "", "", "", "", ""], ["less than secondary diploma", "3,176,250", "31.1", "3,176,275", "31.1", "1.00", "3,452,265", "31.8", "3,452,445", "31.8", "1.00"], ["secondary diploma or higher", "7,030,260", "68.9", "7,030,435", "68.9", "1.00", "7,389,850", "68.2", "7,389,920", "68.2", "1.00"], ["labour force participation", "", "", "", "", "", "", "", "", "", ""], ["employed", "6,939,605", "68.0", "6,940,800", "68.0", "1.00", "5,884,020", "54.3", "5,892,415", "54.3", "1.00"], ["unemployed", "754,980", "7.4", "757,865", "7.4", "1.00", "621,255", "5.7", "624,980", "5.8", "0.99"], ["not in labour force", "2,511,925", "24.6", "2,508,045", "24.6", "1.00", "4,336,840", "40.0", "4,324,975", "39.9", "1.00"], ["visible minority status", "", "", "", "", "", "", "", "", "", ""], ["not a visible minority", "9,148,165", "89.6", "9,147,425", "89.6", "1.00", "9,692,110", "89.4", "9,691,025", "89.4", "1.00"], ["visible minority", "1,058,345", "10.4", "1,059,285", "10.4", "1.00", "1,150,005", "10.6", "1,151,340", "10.6", "1.00"], ["mobility in the past year", "", "", "", "", "", "", "", "", "", ""], ["did not move", "8,617,990", "84.4", "8,580,945", "84.1", "1.00", "9,177,530", "84.6", "9,188,810", "84.7", "1.00"], ["moved", "1,588,520", "15.6", "1,625,760", "15.9", "0.98", "1,664,585", "15.4", "1,653,560", "15.3", "1.01"], ["rural or urban", "", "", "", "", "", "", "", "", "", ""], ["rural", "2,332,320", "22.9", "2,288,305", "22.4", "1.02", "2,236,520", "20.6", "2,206,110", "20.3", "1.01"], ["urban", "7,874,190", "77.1", "7,918,400", "77.6", "0.99", "8,605,600", "79.4", "8,636,255", "79.7", "1.00"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | which characteristics of women cohort were slightly underrepresented among all the characteristics? | ["not married or common-law", "unemployed"] |
f4b0186383b2f367a2197eb044e7e63e | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", "10,206,710", "100.0", "1.00", "10,842,115", "100.0", "10,842,365", "100.0", "1.00"], ["age group", "", "", "", "", "", "", "", "", "", ""], ["19 to 24", "1,141,795", "11.2", "1,141,995", "11.2", "1.00", "1,131,940", "10.4", "1,131,885", "10.4", "1.00"], ["25 to 44", "4,593,575", "45.0", "4,593,895", "45.0", "1.00", "4,727,645", "43.6", "4,727,545", "43.6", "1.00"], ["45 to 64", "3,053,565", "29.9", "3,053,435", "29.9", "1.00", "3,120,510", "28.8", "3,120,590", "28.8", "1.00"], ["65 to 84", "1,342,960", "13.2", "1,342,775", "13.2", "1.00", "1,712,415", "15.8", "1,712,690", "15.8", "1.00"], ["85 and older", "74,620", "0.7", "74,615", "0.7", "1.00", "149,605", "1.4", "149,655", "1.4", "1.00"], ["marital status", "", "", "", "", "", "", "", "", "", ""], ["not married or common-law", "3,120,945", "30.6", "3,199,100", "31.3", "0.98", "3,712,885", "34.2", "3,758,655", "34.7", "0.99"], ["married or common-law", "7,085,565", "69.4", "7,007,610", "68.7", "1.01", "7,129,230", "65.8", "7,083,715", "65.3", "1.01"], ["highest level of education", "", "", "", "", "", "", "", "", "", ""], ["less than secondary diploma", "3,176,250", "31.1", "3,176,275", "31.1", "1.00", "3,452,265", "31.8", "3,452,445", "31.8", "1.00"], ["secondary diploma or higher", "7,030,260", "68.9", "7,030,435", "68.9", "1.00", "7,389,850", "68.2", "7,389,920", "68.2", "1.00"], ["labour force participation", "", "", "", "", "", "", "", "", "", ""], ["employed", "6,939,605", "68.0", "6,940,800", "68.0", "1.00", "5,884,020", "54.3", "5,892,415", "54.3", "1.00"], ["unemployed", "754,980", "7.4", "757,865", "7.4", "1.00", "621,255", "5.7", "624,980", "5.8", "0.99"], ["not in labour force", "2,511,925", "24.6", "2,508,045", "24.6", "1.00", "4,336,840", "40.0", "4,324,975", "39.9", "1.00"], ["visible minority status", "", "", "", "", "", "", "", "", "", ""], ["not a visible minority", "9,148,165", "89.6", "9,147,425", "89.6", "1.00", "9,692,110", "89.4", "9,691,025", "89.4", "1.00"], ["visible minority", "1,058,345", "10.4", "1,059,285", "10.4", "1.00", "1,150,005", "10.6", "1,151,340", "10.6", "1.00"], ["mobility in the past year", "", "", "", "", "", "", "", "", "", ""], ["did not move", "8,617,990", "84.4", "8,580,945", "84.1", "1.00", "9,177,530", "84.6", "9,188,810", "84.7", "1.00"], ["moved", "1,588,520", "15.6", "1,625,760", "15.9", "0.98", "1,664,585", "15.4", "1,653,560", "15.3", "1.01"], ["rural or urban", "", "", "", "", "", "", "", "", "", ""], ["rural", "2,332,320", "22.9", "2,288,305", "22.4", "1.02", "2,236,520", "20.6", "2,206,110", "20.3", "1.01"], ["urban", "7,874,190", "77.1", "7,918,400", "77.6", "0.99", "8,605,600", "79.4", "8,636,255", "79.7", "1.00"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | which characteristics of men cohort were slightly overrepresented among all the characteristics? | ["married or common-law", "rural"] |
ee2edabe566a1f6c6e78638b34f61eba | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", "10,206,710", "100.0", "1.00", "10,842,115", "100.0", "10,842,365", "100.0", "1.00"], ["age group", "", "", "", "", "", "", "", "", "", ""], ["19 to 24", "1,141,795", "11.2", "1,141,995", "11.2", "1.00", "1,131,940", "10.4", "1,131,885", "10.4", "1.00"], ["25 to 44", "4,593,575", "45.0", "4,593,895", "45.0", "1.00", "4,727,645", "43.6", "4,727,545", "43.6", "1.00"], ["45 to 64", "3,053,565", "29.9", "3,053,435", "29.9", "1.00", "3,120,510", "28.8", "3,120,590", "28.8", "1.00"], ["65 to 84", "1,342,960", "13.2", "1,342,775", "13.2", "1.00", "1,712,415", "15.8", "1,712,690", "15.8", "1.00"], ["85 and older", "74,620", "0.7", "74,615", "0.7", "1.00", "149,605", "1.4", "149,655", "1.4", "1.00"], ["marital status", "", "", "", "", "", "", "", "", "", ""], ["not married or common-law", "3,120,945", "30.6", "3,199,100", "31.3", "0.98", "3,712,885", "34.2", "3,758,655", "34.7", "0.99"], ["married or common-law", "7,085,565", "69.4", "7,007,610", "68.7", "1.01", "7,129,230", "65.8", "7,083,715", "65.3", "1.01"], ["highest level of education", "", "", "", "", "", "", "", "", "", ""], ["less than secondary diploma", "3,176,250", "31.1", "3,176,275", "31.1", "1.00", "3,452,265", "31.8", "3,452,445", "31.8", "1.00"], ["secondary diploma or higher", "7,030,260", "68.9", "7,030,435", "68.9", "1.00", "7,389,850", "68.2", "7,389,920", "68.2", "1.00"], ["labour force participation", "", "", "", "", "", "", "", "", "", ""], ["employed", "6,939,605", "68.0", "6,940,800", "68.0", "1.00", "5,884,020", "54.3", "5,892,415", "54.3", "1.00"], ["unemployed", "754,980", "7.4", "757,865", "7.4", "1.00", "621,255", "5.7", "624,980", "5.8", "0.99"], ["not in labour force", "2,511,925", "24.6", "2,508,045", "24.6", "1.00", "4,336,840", "40.0", "4,324,975", "39.9", "1.00"], ["visible minority status", "", "", "", "", "", "", "", "", "", ""], ["not a visible minority", "9,148,165", "89.6", "9,147,425", "89.6", "1.00", "9,692,110", "89.4", "9,691,025", "89.4", "1.00"], ["visible minority", "1,058,345", "10.4", "1,059,285", "10.4", "1.00", "1,150,005", "10.6", "1,151,340", "10.6", "1.00"], ["mobility in the past year", "", "", "", "", "", "", "", "", "", ""], ["did not move", "8,617,990", "84.4", "8,580,945", "84.1", "1.00", "9,177,530", "84.6", "9,188,810", "84.7", "1.00"], ["moved", "1,588,520", "15.6", "1,625,760", "15.9", "0.98", "1,664,585", "15.4", "1,653,560", "15.3", "1.01"], ["rural or urban", "", "", "", "", "", "", "", "", "", ""], ["rural", "2,332,320", "22.9", "2,288,305", "22.4", "1.02", "2,236,520", "20.6", "2,206,110", "20.3", "1.01"], ["urban", "7,874,190", "77.1", "7,918,400", "77.6", "0.99", "8,605,600", "79.4", "8,636,255", "79.7", "1.00"]], "top_header_rows_num": 4, "left_header_columns_num": 1}} | None | None | which characteristics of women cohort were slightly overrepresented among all the characteristics? | ["married or common-law", "moved", "rural"] |
ceafd1b878c8e8e5cb79881226a885f3 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families with a debt-to-asset ratio above 0.5 miss a non-mortagage payment? | ["0.128"] |
5cfab93ed5e0ad81fee54fd3255d625e | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families with a debt-to-asset ratio above 0.25 and up to 0.50 miss a non-mortagage payment? | ["0.122"] |
f8a5f17bed0e3e9ec32cd2fd8b931c8a | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families with a debt-to-asset ratio equal to or below 0.25 miss a non-mortagage payment? | ["0.08"] |
a7f818bc888dc2caa6a9757f959565aa | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families owned their principal residence without mortgage miss a non-mortgage payment? | ["0.078"] |
3adab9b1b8efd91844a87ab4648cc295 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families who did not own their principal residence miss a non-mortgage payment? | ["0.14"] |
da1a3c9971346006772a5b2706eb07ad | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families in the lowest income quintile skip or delay a non-mortgage payment? | ["0.128"] |
6792a3fc2b73ef66ec9e5134403aa866 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families in the fourth income quintile skip or delay a non-mortgage payment? | ["0.095"] |
498f490424592bf55fa26ba918e0aae7 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families in the fifth income quintile skip or delay a non-mortgage payment? | ["0.051"] |
0409176014c277bfa86649563e6f8e8f | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families where the major income earner was aged 65 or over miss non-mortgage payment? | ["0.062"] |
44db9910b144605fd6c736f38b063a68 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families where the major income earner was aged 45 to 54 miss non-mortgage payment? | ["0.125"] |
b9c504dbd9190ade37be4c0367bccae0 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which kind of income earner were less likely to miss non-mortgage payments, university degree holders or high school diploma holders? | ["university diploma or degree"] |
c9c8f5ccb782fbd3fa2fe5d1ab937f01 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families in quebec skip or delay non-mortgage payment? | ["0.136"] |
50aa6767effa34ec9271a03215c2c589 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families in ontario skip or delay non-mortgage payment? | ["0.096"] |
4356602ba4a48bf2ab9d3198540e3423 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would those in the lowest debt-to-asset ratio skip or delay a mortgage payment? | ["0.016"] |
6a33219953b114d1e9e0e5e15ce8eb2f | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would those with debt-to-asset ratios above 0.50 skip or delay a mortgage payment? | ["0.073"] |
885827c3bd29a665ad9a6421101ff557 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which family type had a higher probability of missing a mortgage payment, lone-parent families or couples without children? | ["lone parent"] |
007dcbff4cf29beb89093114c03cb532 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | among all age groups of main income earner, which group was most likely to miss a mortgage payment? | ["55 to 64 years"] |
c30933389e49319ef8bd722f1fa21c59 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which age group of main income earner was less likely to miss a mortgage payment, families where the major income earner was 15 to 34 years old or families where the major income earner was 45 to 54 years old? | ["15 to 34 years"] |
2f560c125bec5da6d7d4c1855ae0e1d9 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which income group had a lower probability of missing a mortgage payment, families in the top income quintile (the fifth) or families in the bottom income quintile(the first)? | ["fifth quintile"] |
237a2c42f23af7ca2238a436286146e4 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016", "0.027"], ["above 0.25 and up to 0.50", "0.122", "0.042", "0.031"], ["above 0.50", "0.128", "0.073", "0.060"], ["age group of main income earner", "", "", ""], ["15 to 34 years", "0.114", "0.020", "0.034"], ["35 to 44 years", "0.105", "0.039", "0.037"], ["45 to 54 years", "0.125", "0.042", "0.047"], ["55 to 64 years", "0.099", "0.081", "0.042"], ["over 64 years", "0.062", "0.041", "0.040"], ["family type", "", "", ""], ["unattached", "0.110", "0.045", "0.024"], ["couple with no children", "0.083", "0.024", "0.035"], ["couple with children", "0.106", "0.040", "0.041"], ["lone parent", "0.121", "0.094", "0.084"], ["\"other\" family types", "0.116", "0.045", "0.063"], ["education of main income earner", "", "", ""], ["less than high school", "0.112", "0.054", "0.075"], ["high school", "0.117", "0.038", "0.048"], ["some postsecondary", "0.121", "0.046", "0.041"], ["university diploma or degree", "0.079", "0.033", "0.016"], ["income group", "", "", ""], ["first quintile", "0.128", "0.068", "0.037"], ["second quintile", "0.134", "0.038", "0.046"], ["third quintile", "0.097", "0.048", "0.038"], ["fourth quintile", "0.095", "0.041", "0.038"], ["fifth quintile", "0.051", "0.022", "0.033"], ["region", "", "", ""], ["atlantic", "0.073", "0.043", "0.038"], ["quebec", "0.136", "0.034", "0.014"], ["ontario", "0.096", "0.032", "0.046"], ["prairies", "0.106", "0.068", "0.056"], ["british columbia", "0.091", "0.039", "0.044"], ["sex of main income earner", "", "", ""], ["male", "0.107", "0.042", "0.040"], ["female", "0.103", "0.038", "0.037"], ["home ownership status", "", "", ""], ["own without mortgage", "0.078", "..", "0.017"], ["own with mortgage", "0.085", "..", "0.019"], ["do not own", "0.140", "..", "0.082"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | regionally, which group of families were more likely to miss mortgage payment, families in the prairies or families in ontario? | ["prairies"] |
4b5eefad1e2962babfee43ea088d5098 | hitab | {"table_id": "1307", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year"], ["", "predicted probability", ""], ["debt-to-asset ratio category", "", ""], ["up to 0.25", "0.048", "0.013"], ["above 0.25 and up to 0.50", "0.068", "0.027"], ["above 0.50", "0.098", "0.056"], ["age group of main income earner", "", ""], ["15 to 34 years", "0.071", "0.015"], ["35 to 44 years", "0.065", "0.027"], ["45 to 54 years", "0.094", "0.035"], ["55 to 64 years", "0.074", "0.057"], ["over 64 years", "0.034", "0.029"], ["family type", "", ""], ["unattached", "0.067", "0.030"], ["couple with no children", "0.054", "0.019"], ["couple with children", "0.072", "0.030"], ["lone parent", "0.091", "0.077"], ["\"other\" family types", "0.085", "0.029"], ["education of main income earner", "", ""], ["less than high school", "0.083", "0.044"], ["high school", "0.077", "0.031"], ["some postsecondary", "0.087", "0.034"], ["university diploma or degree", "0.042", "0.021"], ["income group", "", ""], ["first quintile", "0.097", "0.062"], ["second quintile", "0.095", "0.031"], ["third quintile", "0.057", "0.028"], ["fourth quintile", "0.054", "0.032"], ["fifth quintile", "0.020", "0.012"], ["region", "", ""], ["atlantic", "0.049", "0.037"], ["quebec", "0.075", "0.027"], ["ontario", "0.062", "0.022"], ["prairies", "0.091", "0.049"], ["british columbia", "0.071", "0.031"], ["sex of main income earner", "", ""], ["male", "0.071", "0.030"], ["female", "0.070", "0.030"], ["home ownership status", "", ""], ["own without mortgage", "0.048", ".."], ["own with mortgage", "0.051", ".."], ["do not own", "0.099", ".."]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families with a debt-to-asset ratio up to 0.25 skip or delay a non-mortgage payment? | ["0.048"] |
4898b9ff874b24f80d12d4024c7707fa | hitab | {"table_id": "1307", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year"], ["", "predicted probability", ""], ["debt-to-asset ratio category", "", ""], ["up to 0.25", "0.048", "0.013"], ["above 0.25 and up to 0.50", "0.068", "0.027"], ["above 0.50", "0.098", "0.056"], ["age group of main income earner", "", ""], ["15 to 34 years", "0.071", "0.015"], ["35 to 44 years", "0.065", "0.027"], ["45 to 54 years", "0.094", "0.035"], ["55 to 64 years", "0.074", "0.057"], ["over 64 years", "0.034", "0.029"], ["family type", "", ""], ["unattached", "0.067", "0.030"], ["couple with no children", "0.054", "0.019"], ["couple with children", "0.072", "0.030"], ["lone parent", "0.091", "0.077"], ["\"other\" family types", "0.085", "0.029"], ["education of main income earner", "", ""], ["less than high school", "0.083", "0.044"], ["high school", "0.077", "0.031"], ["some postsecondary", "0.087", "0.034"], ["university diploma or degree", "0.042", "0.021"], ["income group", "", ""], ["first quintile", "0.097", "0.062"], ["second quintile", "0.095", "0.031"], ["third quintile", "0.057", "0.028"], ["fourth quintile", "0.054", "0.032"], ["fifth quintile", "0.020", "0.012"], ["region", "", ""], ["atlantic", "0.049", "0.037"], ["quebec", "0.075", "0.027"], ["ontario", "0.062", "0.022"], ["prairies", "0.091", "0.049"], ["british columbia", "0.071", "0.031"], ["sex of main income earner", "", ""], ["male", "0.071", "0.030"], ["female", "0.070", "0.030"], ["home ownership status", "", ""], ["own without mortgage", "0.048", ".."], ["own with mortgage", "0.051", ".."], ["do not own", "0.099", ".."]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | by what percentage would families with a debt-to-asset ratio above o.5 skip or delay a non-mortgage payment? | ["0.098"] |
a9dfe651e3c3df6c267d7d1ada589316 | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15", "14"], ["two or more", "10", "14"], ["percent with at least one acute care hospitalization for opioid poisoning in the year prior to death", "4", "5"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which group of decendents were most among all the decedents who did not contact with police and had at least one contact with police in 24 monts prior to death, those who were not hospitalized, or those who had one or two more hospital visits in year prior to death? | ["none"] |
50c44a9aab95a86c4e393061eafbfefa | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15", "14"], ["two or more", "10", "14"], ["percent with at least one acute care hospitalization for opioid poisoning in the year prior to death", "4", "5"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | among all the decedents who did not have contact with police in 24 months prior to deaths, what is the percentage of those who were not hospitalized in year prior to death? | ["75.0"] |
a540fbc4e7e386bf2d8597389fbe2b78 | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15", "14"], ["two or more", "10", "14"], ["percent with at least one acute care hospitalization for opioid poisoning in the year prior to death", "4", "5"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which group of decedents were more likely to have been hospitalized two or more times in the year before their death, those who had come into contact with police or those who hadn't come into contact with police? | ["at least one contact with police in 24 months prior to death"] |
a62805fe9f4222b56f6c8460255161b3 | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15", "14"], ["two or more", "10", "14"], ["percent with at least one acute care hospitalization for opioid poisoning in the year prior to death", "4", "5"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | among decedents who had contact with police in 24 months prior to death, what is the percentage of those who were hospitalized at least once in the year before their death as a result of opioid poisoning? | ["5.0"] |
7821d1fc7119f38ee53e23a9c30b06ef | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15", "14"], ["two or more", "10", "14"], ["percent with at least one acute care hospitalization for opioid poisoning in the year prior to death", "4", "5"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | among decedents who hadn't contact with police in 24 months prior to death, what is the percentage of those who were hospitalized at least once in the year before their death as a result of opioid poisoning? | ["4.0"] |
a53c31d208960de5d96a01fb3a3a1a4f | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "73.3", "78.5", "82.1", "83.5", "88.6", "92.2"], ["applied research", "56.5", "79.3", "87.1", "88.3", "91.9", "97.3", "104.6", "110.4"], ["experimental development", "169.4", "251.4", "273.3", "287.1", "301.5", "312.9", "322.1", "339.6"], ["constant 2012 $billions", "", "", "", "", "", "", "", ""], ["all r&d", "343.2", "423", "433.6", "446.1", "458.5", "471.1", "486.4", "502.3"], ["basic research", "53.8", "79", "73.3", "77.1", "79.1", "79.6", "83.6", "85.4"], ["applied research", "72.4", "82.5", "87.1", "86.8", "88.6", "92.9", "98.8", "102.2"], ["experimental development", "217", "261.6", "273.3", "282.2", "290.8", "298.6", "304.1", "314.6"], ["percent distribution", "", "", "", "", "", "", "", ""], ["all r&d", "100", "100", "100", "100", "100", "100", "100", "100"], ["basic research", "15.7", "18.7", "16.9", "17.3", "17.3", "16.9", "17.2", "17"], ["applied research", "21.1", "19.5", "20.1", "19.5", "19.3", "19.7", "20.3", "20.4"], ["experimental development", "63.2", "61.8", "63", "63.3", "63.4", "63.4", "62.5", "62.6"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many billion dollars did basic research activities account for in 2016? | ["88.6"] |
c087257fd93d3ee12d64339a5eb4c348 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "73.3", "78.5", "82.1", "83.5", "88.6", "92.2"], ["applied research", "56.5", "79.3", "87.1", "88.3", "91.9", "97.3", "104.6", "110.4"], ["experimental development", "169.4", "251.4", "273.3", "287.1", "301.5", "312.9", "322.1", "339.6"], ["constant 2012 $billions", "", "", "", "", "", "", "", ""], ["all r&d", "343.2", "423", "433.6", "446.1", "458.5", "471.1", "486.4", "502.3"], ["basic research", "53.8", "79", "73.3", "77.1", "79.1", "79.6", "83.6", "85.4"], ["applied research", "72.4", "82.5", "87.1", "86.8", "88.6", "92.9", "98.8", "102.2"], ["experimental development", "217", "261.6", "273.3", "282.2", "290.8", "298.6", "304.1", "314.6"], ["percent distribution", "", "", "", "", "", "", "", ""], ["all r&d", "100", "100", "100", "100", "100", "100", "100", "100"], ["basic research", "15.7", "18.7", "16.9", "17.3", "17.3", "16.9", "17.2", "17"], ["applied research", "21.1", "19.5", "20.1", "19.5", "19.3", "19.7", "20.3", "20.4"], ["experimental development", "63.2", "61.8", "63", "63.3", "63.4", "63.4", "62.5", "62.6"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many percentage points of total u.s. r&d expenditures did basic research activities account for? | ["0.171939"] |
355c456bbb78272db97de71f4ea7ac82 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "73.3", "78.5", "82.1", "83.5", "88.6", "92.2"], ["applied research", "56.5", "79.3", "87.1", "88.3", "91.9", "97.3", "104.6", "110.4"], ["experimental development", "169.4", "251.4", "273.3", "287.1", "301.5", "312.9", "322.1", "339.6"], ["constant 2012 $billions", "", "", "", "", "", "", "", ""], ["all r&d", "343.2", "423", "433.6", "446.1", "458.5", "471.1", "486.4", "502.3"], ["basic research", "53.8", "79", "73.3", "77.1", "79.1", "79.6", "83.6", "85.4"], ["applied research", "72.4", "82.5", "87.1", "86.8", "88.6", "92.9", "98.8", "102.2"], ["experimental development", "217", "261.6", "273.3", "282.2", "290.8", "298.6", "304.1", "314.6"], ["percent distribution", "", "", "", "", "", "", "", ""], ["all r&d", "100", "100", "100", "100", "100", "100", "100", "100"], ["basic research", "15.7", "18.7", "16.9", "17.3", "17.3", "16.9", "17.2", "17"], ["applied research", "21.1", "19.5", "20.1", "19.5", "19.3", "19.7", "20.3", "20.4"], ["experimental development", "63.2", "61.8", "63", "63.3", "63.4", "63.4", "62.5", "62.6"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many billion dollars did applied research activities account for in 2016? | ["104.6"] |
e1b9017e08d6a4d7d561fa2df983ac50 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "73.3", "78.5", "82.1", "83.5", "88.6", "92.2"], ["applied research", "56.5", "79.3", "87.1", "88.3", "91.9", "97.3", "104.6", "110.4"], ["experimental development", "169.4", "251.4", "273.3", "287.1", "301.5", "312.9", "322.1", "339.6"], ["constant 2012 $billions", "", "", "", "", "", "", "", ""], ["all r&d", "343.2", "423", "433.6", "446.1", "458.5", "471.1", "486.4", "502.3"], ["basic research", "53.8", "79", "73.3", "77.1", "79.1", "79.6", "83.6", "85.4"], ["applied research", "72.4", "82.5", "87.1", "86.8", "88.6", "92.9", "98.8", "102.2"], ["experimental development", "217", "261.6", "273.3", "282.2", "290.8", "298.6", "304.1", "314.6"], ["percent distribution", "", "", "", "", "", "", "", ""], ["all r&d", "100", "100", "100", "100", "100", "100", "100", "100"], ["basic research", "15.7", "18.7", "16.9", "17.3", "17.3", "16.9", "17.2", "17"], ["applied research", "21.1", "19.5", "20.1", "19.5", "19.3", "19.7", "20.3", "20.4"], ["experimental development", "63.2", "61.8", "63", "63.3", "63.4", "63.4", "62.5", "62.6"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many percentage points of total u.s. r&d expenditures did applied research activities account for? | ["0.202989"] |
7579cee13b6c92c4fbd44e3d906302b8 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "73.3", "78.5", "82.1", "83.5", "88.6", "92.2"], ["applied research", "56.5", "79.3", "87.1", "88.3", "91.9", "97.3", "104.6", "110.4"], ["experimental development", "169.4", "251.4", "273.3", "287.1", "301.5", "312.9", "322.1", "339.6"], ["constant 2012 $billions", "", "", "", "", "", "", "", ""], ["all r&d", "343.2", "423", "433.6", "446.1", "458.5", "471.1", "486.4", "502.3"], ["basic research", "53.8", "79", "73.3", "77.1", "79.1", "79.6", "83.6", "85.4"], ["applied research", "72.4", "82.5", "87.1", "86.8", "88.6", "92.9", "98.8", "102.2"], ["experimental development", "217", "261.6", "273.3", "282.2", "290.8", "298.6", "304.1", "314.6"], ["percent distribution", "", "", "", "", "", "", "", ""], ["all r&d", "100", "100", "100", "100", "100", "100", "100", "100"], ["basic research", "15.7", "18.7", "16.9", "17.3", "17.3", "16.9", "17.2", "17"], ["applied research", "21.1", "19.5", "20.1", "19.5", "19.3", "19.7", "20.3", "20.4"], ["experimental development", "63.2", "61.8", "63", "63.3", "63.4", "63.4", "62.5", "62.6"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many billion dollars did experimental development activities account for in 2016? | ["322.1"] |
84cace18a468bc7e5b9f678448905f52 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "73.3", "78.5", "82.1", "83.5", "88.6", "92.2"], ["applied research", "56.5", "79.3", "87.1", "88.3", "91.9", "97.3", "104.6", "110.4"], ["experimental development", "169.4", "251.4", "273.3", "287.1", "301.5", "312.9", "322.1", "339.6"], ["constant 2012 $billions", "", "", "", "", "", "", "", ""], ["all r&d", "343.2", "423", "433.6", "446.1", "458.5", "471.1", "486.4", "502.3"], ["basic research", "53.8", "79", "73.3", "77.1", "79.1", "79.6", "83.6", "85.4"], ["applied research", "72.4", "82.5", "87.1", "86.8", "88.6", "92.9", "98.8", "102.2"], ["experimental development", "217", "261.6", "273.3", "282.2", "290.8", "298.6", "304.1", "314.6"], ["percent distribution", "", "", "", "", "", "", "", ""], ["all r&d", "100", "100", "100", "100", "100", "100", "100", "100"], ["basic research", "15.7", "18.7", "16.9", "17.3", "17.3", "16.9", "17.2", "17"], ["applied research", "21.1", "19.5", "20.1", "19.5", "19.3", "19.7", "20.3", "20.4"], ["experimental development", "63.2", "61.8", "63", "63.3", "63.4", "63.4", "62.5", "62.6"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | how many percentage points of total u.s. r&d expenditures did experimental development activities account for? | ["0.625073"] |
d9fd73424337e4033cee443451e2034e | hitab | {"table_id": "130_totto15758-0", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "europe", "", "other", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["odd", "2011", "tippeligaen", "4", "0", "0", "0", "-", "", "", "", "4", "0"], ["", "2012", "", "26", "3", "3", "0", "-", "", "", "", "29", "3"], ["", "2013", "", "30", "8", "3", "0", "-", "", "", "", "33", "8"], ["", "2014", "", "30", "9", "6", "5", "-", "", "", "", "36", "14"], ["", "total", "", "90", "20", "12", "5", "-", "", "", "", "102", "25"], ["sparta prague", "2014-15", "czech first league", "3", "0", "1", "0", "-", "", "", "", "4", "0"], ["", "total", "", "3", "0", "1", "0", "-", "", "", "", "4", "0"], ["slovan liberec", "2015-16", "czech first league", "23", "6", "4", "0", "9", "1", "-", "", "36", "7"], ["kas\u0131mpasa", "2016-17", "super lig", "10", "1", "7", "2", "-", "", "", "", "17", "3"], ["", "total", "", "33", "7", "11", "2", "9", "1", "-", "", "53", "10"], ["lyngby", "2017-18", "danish superliga", "15", "2", "1", "0", "-", "", "", "", "16", "2"], ["", "total", "", "15", "2", "1", "0", "-", "", "", "", "16", "2"], ["start", "2018", "eliteserien", "14", "3", "1", "1", "-", "", "", "", "15", "4"], ["", "total", "", "14", "3", "1", "1", "-", "", "", "", "15", "4"], ["valerenga", "2019", "eliteserien", "1", "0", "0", "0", "-", "", "", "", "1", "0"], ["", "total", "", "1", "0", "0", "0", "-", "", "", "", "1", "0"], ["career total", "", "", "156", "32", "26", "8", "9", "1", "-", "", "191", "42"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which club did shala play for in 2018? | ["start"] |
250e172543a7f8dbcdbc716293c3549a | hitab | {"table_id": "130_totto15809-1", "table": {"cells": [["season", "team", "games", "overall fgs", "", "", "", "", "pats", "", "", "", "kickoffs", "", "", "", "", "points"], ["", "", "gp", "blk", "lng", "fg att", "fgm", "pct", "xp att", "xpm", "pct", "blk", "ko", "avg", "tb", "ret", "avg", ""], ["1996", "ne", "3", "0", "29", "3", "2", "66.7", "9", "9", "100.0", "0", "13", "63.7", "0", "13", "24.8", "15"], ["1997", "ne", "2", "0", "46", "5", "3", "60.0", "2", "2", "100.0", "0", "7", "61.4", "1", "6", "20.2", "11"], ["1998", "ne", "1", "0", "27", "1", "1", "100.0", "1", "1", "100.0", "0", "3", "64.0", "0", "3", "22.0", "4"], ["2001", "ne", "3", "0", "48", "7", "6", "85.7", "6", "6", "100.0", "0", "13", "62.2", "0", "13", "19.9", "24"], ["2003", "ne", "3", "1", "46", "10", "7", "70.0", "6", "6", "100.0", "0", "17", "59.6", "0", "17", "20.8", "27"], ["2004", "ne", "3", "0", "48", "5", "5", "100.0", "10", "10", "100.0", "0", "18", "58.1", "1", "17", "16.9", "25"], ["2005", "ne", "2", "0", "40", "3", "2", "66.7", "5", "5", "100.0", "0", "9", "62.8", "0", "9", "20.1", "11"], ["2006", "ind", "4", "0", "51", "15", "14", "93.3", "7", "7", "100.0", "0", "26", "61.0", "2", "23", "24.0", "49"], ["2007", "ind", "1", "0", "46", "1", "1", "100.0", "3", "3", "100.0", "0", "5", "73.2", "1", "4", "25.8", "6"], ["2008", "ind", "1", "0", "43", "1", "1", "100.0", "2", "2", "100.0", "0", "5", "71.8", "1", "4", "26.5", "5"], ["2010", "ind", "1", "0", "50", "3", "3", "100.0", "1", "1", "100.0", "0", "-", "-", "-", "-", "-", "10"], ["2012", "ind", "1", "0", "52", "4", "3", "75.0", "0", "0", "-", "-", "-", "-", "-", "-", "-", "9"], ["2013", "ind", "2", "0", "37", "3", "3", "100.0", "8", "8", "100.0", "0", "-", "-", "-", "-", "-", "17"], ["2014", "ind", "3", "0", "53", "7", "5", "71.4", "5", "5", "100.0", "0", "-", "-", "-", "-", "-", "21"], ["2018", "ind", "2", "0", "-", "1", "0", "0.00", "5", "4", "80.0", "0", "-", "-", "-", "-", "-", "4"], ["total", "", "32", "1", "53", "69", "56", "81.2", "70", "69", "98.6", "0", "116", "62.3", "6", "109", "21.6", "238"]], "top_header_rows_num": 3, "left_header_columns_num": 3}} | None | None | how many points did adam vinatieri score in the postseason? | ["238.0"] |
eccfd08712bd3f1b5af941846dbf3ee2 | hitab | {"table_id": "130_totto15937-3", "table": {"cells": [["club", "season", "league", "", "", "national cup", "", "league cup", "", "continental", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["vejle boldklub", "2016-17", "danish 1st division", "1", "0", "0", "0", "-", "", "1", "0", "none", "none"], ["", "2017-18", "", "0", "0", "1", "0", "-", "", "1", "0", "none", "none"], ["", "total", "", "1", "0", "1", "0", "0", "0", "0", "0", "2", "0"], ["guangzhou r&f", "2018", "chinese super league", "4", "0", "1", "0", "-", "", "5", "0", "none", "none"], ["", "total", "", "4", "0", "1", "0", "0", "0", "0", "0", "5", "0"], ["career total", "", "", "5", "0", "2", "0", "0", "0", "0", "0", "7", "0"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which club did wang xin play for in 2018? | ["guangzhou r&f"] |
cc2e0a2bc7a0821cf4354f99df4be0ad | hitab | {"table_id": "130_totto15956-4", "table": {"cells": [["year", "team", "games", "", "rushing", "", "", "", "", "receiving", "", "", "", "", "kick return", "", "", ""], ["", "", "gp", "gs", "att", "yds", "avg", "lng", "td", "rec", "yds", "avg", "lng", "td", "att", "yds", "lng", "td"], ["2016", "phi", "13", "1", "77", "312", "4.1", "19", "1", "6", "55", "9.2", "18", "0", "9", "261", "86t", "1"], ["2017", "phi", "8", "3", "47", "174", "3.7", "26", "1", "13", "103", "7.9", "24", "0", "4", "93", "28", "0"], ["career", "", "21", "4", "77", "486", "3.9", "26", "2", "19", "158", "8.3", "24", "0", "13", "354", "86t", "1"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | how many rushing yards did wendell smallwood get in 2016? | ["312.0"] |
faf496ced3d977d4e8bc8ec16353ec84 | hitab | {"table_id": "1310", "table": {"cells": [["time period prior to fatal overdose", "decedents in british columbia", "decedents in surrey"], ["", "cumulative percent", ""], ["1 month prior to fatal overdose", "16", "10"], ["3 months prior to fatal overdose", "33", "24"], ["6 months prior to fatal overdose", "52", "47"], ["12 months prior to fatal overdose", "74", "75"], ["18 months prior to fatal overdose", "89", "89"], ["24 months prior to fatal overdose", "100", "100"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | among all decedents in british columbia and surrey, what is the percentage of those who experienced their fatal overdose within one year after their contact with police? | ["75.0"] |
7b67a0c7858b7ee4f607885faa06ec21 | hitab | {"table_id": "1311", "table": {"cells": [["type of offence", "police contacts for decedents in british columbia", "police contacts for decedents in surrey", "all criminal offences in british columbia, 2009 to 2016"], ["", "percent", "", ""], ["violent offences", "17", "17", "15"], ["property offences", "31", "35", "54"], ["other criminal code offences", "17", "15", "14"], ["administration of justice offences", "19", "17", "4"], ["drug offences", "11", "11", "6"], ["criminal code traffic violations", "4", "5", "4"], ["other federal statute violations", "1", "1", "2"], ["total", "100", "100", "100"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | among all decedents in british coulumbia who came into contact with police prior to their fatal overdose, what is the percentage of those who did so for a non-violent crime? | ["83"] |
1626cbe0177ea4b8d49d0469882c6327 | hitab | {"table_id": "1311", "table": {"cells": [["type of offence", "police contacts for decedents in british columbia", "police contacts for decedents in surrey", "all criminal offences in british columbia, 2009 to 2016"], ["", "percent", "", ""], ["violent offences", "17", "17", "15"], ["property offences", "31", "35", "54"], ["other criminal code offences", "17", "15", "14"], ["administration of justice offences", "19", "17", "4"], ["drug offences", "11", "11", "6"], ["criminal code traffic violations", "4", "5", "4"], ["other federal statute violations", "1", "1", "2"], ["total", "100", "100", "100"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | among all the types of offence, which type was the most common category of offence for which decedents had contact with police in the 24 months prior to their overdose both in british columbia and surrey? | ["property offences"] |
dea4fbb10740f60ead170a4f536d7160 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide", "1103200", "731100", "372150", "938250", "19050", "145900", "428650", "421350", "88250"], ["u.s. residing population", "967500", "629100", "338400", "815100", "17100", "135300", "349200", "390300", "75600"], ["new england", "80150", "51100", "29050", "69350", "1500", "9300", "30050", "36350", "2950"], ["middle atlantic", "133050", "83750", "49300", "114650", "2100", "16300", "51200", "58300", "5150"], ["east north central", "118250", "78200", "40000", "100250", "1700", "16250", "51050", "43450", "5750"], ["west north central", "54600", "35600", "18950", "46350", "600", "7650", "25500", "18400", "2450"], ["south atlantic", "189550", "119800", "69700", "157950", "3200", "28350", "62850", "63200", "31900"], ["east south central", "32500", "21600", "10900", "27200", "550", "4750", "16700", "7600", "2900"], ["west south central", "76550", "52600", "23950", "64700", "1700", "10200", "31350", "28800", "4500"], ["mountain", "68000", "45600", "22400", "54550", "1050", "12400", "23550", "24500", "6450"], ["pacific and u.s. territories", "214900", "140750", "74100", "180050", "4700", "30100", "56900", "109600", "13550"], ["non-u.s. residing population", "135700", "102000", "33700", "123150", "1950", "10600", "79450", "31050", "12650"], ["europec", "25250", "17100", "8100", "22950", "400", "1850", "12450", "7900", "2600"], ["asia", "73400", "57050", "16350", "68050", "950", "4400", "47100", "15100", "5850"], ["north americad", "12350", "8950", "3400", "10600", "200", "1600", "6750", "2950", "900"], ["central americae", "4500", "3700", "800", "4200", "s", "250", "2550", "1000", "650"], ["caribbean", "750", "350", "400", "700", "d", "s", "350", "200", "150"], ["south america", "8750", "6800", "1950", "7600", "150", "1000", "4850", "1500", "1250"], ["africa", "5700", "4550", "1150", "4950", "100", "600", "2750", "1450", "800"], ["oceania", "4350", "2950", "1400", "3600", "100", "700", "2400", "800", "400"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | in 2017, how many individuals worldwide held a research doctoral degree in a science, engineering, or health (seh) field? | ["1103200.0"] |
6f325ee51e418208f9c677d04f8d2795 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide", "1103200", "731100", "372150", "938250", "19050", "145900", "428650", "421350", "88250"], ["u.s. residing population", "967500", "629100", "338400", "815100", "17100", "135300", "349200", "390300", "75600"], ["new england", "80150", "51100", "29050", "69350", "1500", "9300", "30050", "36350", "2950"], ["middle atlantic", "133050", "83750", "49300", "114650", "2100", "16300", "51200", "58300", "5150"], ["east north central", "118250", "78200", "40000", "100250", "1700", "16250", "51050", "43450", "5750"], ["west north central", "54600", "35600", "18950", "46350", "600", "7650", "25500", "18400", "2450"], ["south atlantic", "189550", "119800", "69700", "157950", "3200", "28350", "62850", "63200", "31900"], ["east south central", "32500", "21600", "10900", "27200", "550", "4750", "16700", "7600", "2900"], ["west south central", "76550", "52600", "23950", "64700", "1700", "10200", "31350", "28800", "4500"], ["mountain", "68000", "45600", "22400", "54550", "1050", "12400", "23550", "24500", "6450"], ["pacific and u.s. territories", "214900", "140750", "74100", "180050", "4700", "30100", "56900", "109600", "13550"], ["non-u.s. residing population", "135700", "102000", "33700", "123150", "1950", "10600", "79450", "31050", "12650"], ["europec", "25250", "17100", "8100", "22950", "400", "1850", "12450", "7900", "2600"], ["asia", "73400", "57050", "16350", "68050", "950", "4400", "47100", "15100", "5850"], ["north americad", "12350", "8950", "3400", "10600", "200", "1600", "6750", "2950", "900"], ["central americae", "4500", "3700", "800", "4200", "s", "250", "2550", "1000", "650"], ["caribbean", "750", "350", "400", "700", "d", "s", "350", "200", "150"], ["south america", "8750", "6800", "1950", "7600", "150", "1000", "4850", "1500", "1250"], ["africa", "5700", "4550", "1150", "4950", "100", "600", "2750", "1450", "800"], ["oceania", "4350", "2950", "1400", "3600", "100", "700", "2400", "800", "400"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | how many individuals were residing in the united states? | ["967500.0"] |
bbec70ee31aaa709f1df7299dc1a49d3 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide", "1103200", "731100", "372150", "938250", "19050", "145900", "428650", "421350", "88250"], ["u.s. residing population", "967500", "629100", "338400", "815100", "17100", "135300", "349200", "390300", "75600"], ["new england", "80150", "51100", "29050", "69350", "1500", "9300", "30050", "36350", "2950"], ["middle atlantic", "133050", "83750", "49300", "114650", "2100", "16300", "51200", "58300", "5150"], ["east north central", "118250", "78200", "40000", "100250", "1700", "16250", "51050", "43450", "5750"], ["west north central", "54600", "35600", "18950", "46350", "600", "7650", "25500", "18400", "2450"], ["south atlantic", "189550", "119800", "69700", "157950", "3200", "28350", "62850", "63200", "31900"], ["east south central", "32500", "21600", "10900", "27200", "550", "4750", "16700", "7600", "2900"], ["west south central", "76550", "52600", "23950", "64700", "1700", "10200", "31350", "28800", "4500"], ["mountain", "68000", "45600", "22400", "54550", "1050", "12400", "23550", "24500", "6450"], ["pacific and u.s. territories", "214900", "140750", "74100", "180050", "4700", "30100", "56900", "109600", "13550"], ["non-u.s. residing population", "135700", "102000", "33700", "123150", "1950", "10600", "79450", "31050", "12650"], ["europec", "25250", "17100", "8100", "22950", "400", "1850", "12450", "7900", "2600"], ["asia", "73400", "57050", "16350", "68050", "950", "4400", "47100", "15100", "5850"], ["north americad", "12350", "8950", "3400", "10600", "200", "1600", "6750", "2950", "900"], ["central americae", "4500", "3700", "800", "4200", "s", "250", "2550", "1000", "650"], ["caribbean", "750", "350", "400", "700", "d", "s", "350", "200", "150"], ["south america", "8750", "6800", "1950", "7600", "150", "1000", "4850", "1500", "1250"], ["africa", "5700", "4550", "1150", "4950", "100", "600", "2750", "1450", "800"], ["oceania", "4350", "2950", "1400", "3600", "100", "700", "2400", "800", "400"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | how many percent of individuals residing in the united states were women? | ["0.349767"] |
2fc43fc928165cc11b712f393ada3a9b | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide", "1103200", "731100", "372150", "938250", "19050", "145900", "428650", "421350", "88250"], ["u.s. residing population", "967500", "629100", "338400", "815100", "17100", "135300", "349200", "390300", "75600"], ["new england", "80150", "51100", "29050", "69350", "1500", "9300", "30050", "36350", "2950"], ["middle atlantic", "133050", "83750", "49300", "114650", "2100", "16300", "51200", "58300", "5150"], ["east north central", "118250", "78200", "40000", "100250", "1700", "16250", "51050", "43450", "5750"], ["west north central", "54600", "35600", "18950", "46350", "600", "7650", "25500", "18400", "2450"], ["south atlantic", "189550", "119800", "69700", "157950", "3200", "28350", "62850", "63200", "31900"], ["east south central", "32500", "21600", "10900", "27200", "550", "4750", "16700", "7600", "2900"], ["west south central", "76550", "52600", "23950", "64700", "1700", "10200", "31350", "28800", "4500"], ["mountain", "68000", "45600", "22400", "54550", "1050", "12400", "23550", "24500", "6450"], ["pacific and u.s. territories", "214900", "140750", "74100", "180050", "4700", "30100", "56900", "109600", "13550"], ["non-u.s. residing population", "135700", "102000", "33700", "123150", "1950", "10600", "79450", "31050", "12650"], ["europec", "25250", "17100", "8100", "22950", "400", "1850", "12450", "7900", "2600"], ["asia", "73400", "57050", "16350", "68050", "950", "4400", "47100", "15100", "5850"], ["north americad", "12350", "8950", "3400", "10600", "200", "1600", "6750", "2950", "900"], ["central americae", "4500", "3700", "800", "4200", "s", "250", "2550", "1000", "650"], ["caribbean", "750", "350", "400", "700", "d", "s", "350", "200", "150"], ["south america", "8750", "6800", "1950", "7600", "150", "1000", "4850", "1500", "1250"], ["africa", "5700", "4550", "1150", "4950", "100", "600", "2750", "1450", "800"], ["oceania", "4350", "2950", "1400", "3600", "100", "700", "2400", "800", "400"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | how many individuals residing in the united states were women? | ["338400.0"] |
71d9003c46144cece3d76403354c0f04 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide", "1103200", "731100", "372150", "938250", "19050", "145900", "428650", "421350", "88250"], ["u.s. residing population", "967500", "629100", "338400", "815100", "17100", "135300", "349200", "390300", "75600"], ["new england", "80150", "51100", "29050", "69350", "1500", "9300", "30050", "36350", "2950"], ["middle atlantic", "133050", "83750", "49300", "114650", "2100", "16300", "51200", "58300", "5150"], ["east north central", "118250", "78200", "40000", "100250", "1700", "16250", "51050", "43450", "5750"], ["west north central", "54600", "35600", "18950", "46350", "600", "7650", "25500", "18400", "2450"], ["south atlantic", "189550", "119800", "69700", "157950", "3200", "28350", "62850", "63200", "31900"], ["east south central", "32500", "21600", "10900", "27200", "550", "4750", "16700", "7600", "2900"], ["west south central", "76550", "52600", "23950", "64700", "1700", "10200", "31350", "28800", "4500"], ["mountain", "68000", "45600", "22400", "54550", "1050", "12400", "23550", "24500", "6450"], ["pacific and u.s. territories", "214900", "140750", "74100", "180050", "4700", "30100", "56900", "109600", "13550"], ["non-u.s. residing population", "135700", "102000", "33700", "123150", "1950", "10600", "79450", "31050", "12650"], ["europec", "25250", "17100", "8100", "22950", "400", "1850", "12450", "7900", "2600"], ["asia", "73400", "57050", "16350", "68050", "950", "4400", "47100", "15100", "5850"], ["north americad", "12350", "8950", "3400", "10600", "200", "1600", "6750", "2950", "900"], ["central americae", "4500", "3700", "800", "4200", "s", "250", "2550", "1000", "650"], ["caribbean", "750", "350", "400", "700", "d", "s", "350", "200", "150"], ["south america", "8750", "6800", "1950", "7600", "150", "1000", "4850", "1500", "1250"], ["africa", "5700", "4550", "1150", "4950", "100", "600", "2750", "1450", "800"], ["oceania", "4350", "2950", "1400", "3600", "100", "700", "2400", "800", "400"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | how many individuals were living abroad? | ["135700.0"] |
df0890dd51311e9ef14d2951b7361889 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide", "1103200", "731100", "372150", "938250", "19050", "145900", "428650", "421350", "88250"], ["u.s. residing population", "967500", "629100", "338400", "815100", "17100", "135300", "349200", "390300", "75600"], ["new england", "80150", "51100", "29050", "69350", "1500", "9300", "30050", "36350", "2950"], ["middle atlantic", "133050", "83750", "49300", "114650", "2100", "16300", "51200", "58300", "5150"], ["east north central", "118250", "78200", "40000", "100250", "1700", "16250", "51050", "43450", "5750"], ["west north central", "54600", "35600", "18950", "46350", "600", "7650", "25500", "18400", "2450"], ["south atlantic", "189550", "119800", "69700", "157950", "3200", "28350", "62850", "63200", "31900"], ["east south central", "32500", "21600", "10900", "27200", "550", "4750", "16700", "7600", "2900"], ["west south central", "76550", "52600", "23950", "64700", "1700", "10200", "31350", "28800", "4500"], ["mountain", "68000", "45600", "22400", "54550", "1050", "12400", "23550", "24500", "6450"], ["pacific and u.s. territories", "214900", "140750", "74100", "180050", "4700", "30100", "56900", "109600", "13550"], ["non-u.s. residing population", "135700", "102000", "33700", "123150", "1950", "10600", "79450", "31050", "12650"], ["europec", "25250", "17100", "8100", "22950", "400", "1850", "12450", "7900", "2600"], ["asia", "73400", "57050", "16350", "68050", "950", "4400", "47100", "15100", "5850"], ["north americad", "12350", "8950", "3400", "10600", "200", "1600", "6750", "2950", "900"], ["central americae", "4500", "3700", "800", "4200", "s", "250", "2550", "1000", "650"], ["caribbean", "750", "350", "400", "700", "d", "s", "350", "200", "150"], ["south america", "8750", "6800", "1950", "7600", "150", "1000", "4850", "1500", "1250"], ["africa", "5700", "4550", "1150", "4950", "100", "600", "2750", "1450", "800"], ["oceania", "4350", "2950", "1400", "3600", "100", "700", "2400", "800", "400"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | an additional 135,700 were living abroad, how many percent of whom were women? | ["0.248342"] |
d33db682d17e8fc1f79516ff9e011e88 | hitab | {"table_id": "131_totto15986-0", "table": {"cells": [["year", "team", "games", "", "rushing", "", "", "", "", "", "", "receiving", "", "", "", "", "", ""], ["", "", "gp", "gs", "att", "yards", "td", "lng", "y/a", "y/g", "a/g", "rec", "yards", "td", "lng", "y/r", "r/g", "y/g"], ["1990", "dal", "16", "15", "241", "937", "11", "48", "3.9", "58.6", "15.1", "24", "228", "0", "57", "9.5", "1.5", "14.3"], ["1991", "dal", "16", "16", "365", "1,563", "12", "75", "4.3", "97.7", "22.8", "49", "258", "1", "14", "5.3", "3.1", "16.1"], ["1992", "dal", "16", "16", "373", "1,713", "18", "68", "4.6", "107.1", "23.3", "59", "335", "1", "26", "5.7", "3.7", "20.9"], ["1993", "dal", "14", "13", "283", "1,486", "9", "62", "5.3", "106.1", "20.2", "57", "414", "1", "86", "7.3", "4.1", "29.6"], ["1994", "dal", "15", "15", "368", "1,484", "21", "46", "4.0", "98.9", "24.5", "50", "341", "1", "68", "6.8", "3.3", "22.7"], ["1995", "dal", "16", "16", "377", "1,773", "25", "60", "4.7", "110.8", "23.6", "62", "375", "0", "40", "6.0", "3.9", "23.4"], ["1996", "dal", "15", "15", "327", "1,204", "12", "42", "3.7", "80.3", "21.8", "47", "249", "3", "21", "5.3", "3.1", "16.6"], ["1997", "dal", "16", "16", "261", "1,074", "4", "44", "4.1", "67.1", "16.3", "40", "234", "0", "24", "5.9", "2.5", "14.6"], ["1998", "dal", "16", "16", "319", "1,332", "13", "32", "4.2", "83.3", "19.9", "27", "175", "2", "24", "6.5", "1.7", "10.9"], ["1999", "dal", "15", "15", "329", "1,397", "11", "63", "4.2", "93.1", "21.9", "27", "119", "2", "14", "4.4", "1.8", "7.9"], ["2000", "dal", "16", "16", "294", "1,203", "9", "52", "4.1", "75.2", "18.4", "11", "79", "0", "19", "7.2", "0.7", "4.9"], ["2001", "dal", "14", "14", "261", "1,021", "3", "44", "3.9", "72.9", "18.6", "17", "116", "0", "22", "6.8", "1.2", "8.3"], ["2002", "dal", "16", "16", "254", "975", "5", "30", "3.8", "60.9", "15.9", "16", "89", "0", "17", "5.6", "1.0", "5.6"], ["2003", "ari", "10", "5", "90", "256", "2", "22", "2.8", "25.6", "9.0", "14", "107", "0", "36", "7.6", "1.4", "10.7"], ["2004", "ari", "15", "15", "267", "937", "9", "29", "3.5", "62.5", "17.8", "15", "105", "0", "18", "7.0", "1.0", "7.0"], ["career", "", "226", "219", "4,409", "18,355", "164", "75", "4.2", "81.2", "19.5", "515", "3,224", "11", "86", "6.3", "2.3", "14.3"], ["13 yrs", "dal", "201", "199", "4,052", "17,162", "153", "75", "4.2", "85.4", "20.2", "486", "3,012", "11", "86", "6.2", "2.4", "15.0"], ["2 yrs", "ari", "25", "20", "357", "1,193", "11", "29", "3.3", "47.7", "14.3", "29", "212", "0", "36", "7.3", "1.2", "8.5"]], "top_header_rows_num": 3, "left_header_columns_num": 2}} | None | None | how many rushing yards did emmitt smith get in 1992? | ["1713.0"] |
ae4948aa9f19232b537448dd1cf47d87 | hitab | {"table_id": "131_totto16008-1", "table": {"cells": [["no", "pos", "nat", "player", "total", "", "primeira liga", "", "taca de portugal", "", "champions league", "", "supertaca", ""], ["", "", "", "", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["1", "gk", "portugal", "jose moreira", "9", "6", "6", "4", "0", "0", "2", "2", "1", "0"], ["3", "df", "brazil", "anderson", "41", "4", "29", "4", "2", "0", "9", "0", "1", "0"], ["4", "df", "brazil", "luisao", "45", "2", "31", "1", "3", "0", "10", "1", "1", "0"], ["5", "df", "brazil", "leo", "38", "0", "26", "0", "3", "0", "9", "0", "0", "0"], ["6", "mf", "portugal", "petit", "42", "3", "30", "3", "2", "0", "9", "0", "1", "0"], ["7", "mf", "portugal", "carlitos", "1", "0", "1", "0", "0", "0", "0", "0", "0", "0"], ["8", "mf", "portugal", "bruno aguiar", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"], ["9", "fw", "angola", "mantorras", "24", "3", "17", "3", "2", "0", "5", "0", "0", "0"], ["10", "mf", "greece", "georgios karagounis", "29", "1", "19", "1", "4", "0", "6", "0", "0", "0"], ["11", "mf", "brazil", "geovanni", "36", "4", "24", "3", "3", "0", "8", "1", "1", "0"], ["12", "gk", "portugal", "quim", "12", "6", "7", "3", "2", "1", "3", "2", "0", "0"], ["13", "df", "brazil", "alcides", "18", "0", "12", "0", "2", "0", "4", "0", "0", "0"], ["14", "mf", "portugal", "manuel fernandes", "40", "2", "28", "1", "3", "0", "8", "1", "1", "0"], ["15", "mf", "portugal", "nuno assis", "12", "0", "10", "0", "0", "0", "2", "0", "0", "0"], ["16", "mf", "brazil", "beto", "37", "1", "24", "0", "4", "0", "8", "1", "1", "0"], ["17", "mf", "russia", "andrey karyaka", "12", "1", "9", "1", "1", "0", "1", "0", "1", "0"], ["18", "df", "france", "manuel dos santos", "4", "0", "3", "0", "0", "0", "0", "0", "1", "0"], ["19", "mf", "brazil", "everson", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"], ["19", "fw", "brazil", "marcel", "9", "0", "7", "0", "1", "0", "1", "0", "0", "0"], ["20", "mf", "portugal", "simao", "36", "12", "24", "8", "3", "2", "8", "2", "1", "0"], ["21", "fw", "portugal", "nuno gomes", "42", "17", "29", "15", "4", "1", "8", "0", "1", "1"], ["22", "df", "portugal", "nelson", "33", "0", "24", "0", "2", "0", "7", "0", "0", "0"], ["23", "fw", "brazil", "gustavo manduca", "19", "1", "16", "1", "3", "0", "0", "0", "0", "0"], ["27", "df", "portugal", "joao pereira", "11", "0", "6", "0", "1", "0", "3", "0", "1", "0"], ["28", "mf", "portugal", "helio roque", "4", "0", "3", "0", "0", "0", "0", "0", "1", "0"], ["30", "fw", "italy", "fabrizio miccoli", "23", "6", "17", "4", "0", "0", "6", "2", "0", "0"], ["31", "gk", "brazil", "marcelo moretto", "23", "19", "18", "17", "1", "0", "4", "2", "0", "0"], ["32", "mf", "portugal", "marco ferreira", "6", "0", "5", "0", "1", "0", "0", "0", "0", "0"], ["33", "df", "portugal", "ricardo rocha", "40", "0", "26", "0", "4", "0", "9", "0", "1", "0"], ["34", "mf", "france", "laurent robert", "19", "3", "13", "2", "3", "1", "3", "0", "0", "0"], ["39", "mf", "portugal", "joao coimbra", "1", "0", "1", "0", "0", "0", "0", "0", "0", "0"], ["43", "gk", "portugal", "rui nereu", "7", "6", "4", "3", "1", "1", "2", "2", "0", "0"]], "top_header_rows_num": 3, "left_header_columns_num": 4}} | None | None | what the matches did benfica compete in the 2005-06 season? | ["primeira liga", "taca de portugal", "champions league"] |
02f3716f1f5a436bdadb92dbb20189d1 | hitab | {"table_id": "131_totto16021-2", "table": {"cells": [["club", "season", "league", "", "", "national cup", "", "league cup", "", "continental", "", "other", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["dustlik", "2001", "uzbek league", "12", "0", "none", "none", "-", "", "none", "", "-", "", "12", "0"], ["pakhtakor tashkent", "2002", "uzbek league", "23", "9", "none", "none", "-", "", "none", "none", "-", "", "23", "9"], ["cska moscow", "2003", "russian premier league", "2", "1", "1", "0", "1", "0", "0", "0", "1", "0", "5", "1"], ["", "2004", "", "0", "0", "0", "0", "none", "", "0", "0", "none", "", "0", "0"], ["", "2005", "", "0", "0", "0", "0", "none", "", "0", "0", "none", "", "0", "0"], ["", "total", "", "2", "1", "1", "0", "1", "0", "0", "0", "1", "0", "5", "1"], ["pakhtakor tashkent", "2005", "uzbek league", "12", "5", "none", "none", "-", "", "none", "none", "-", "", "12", "5"], ["torpedo moscow", "2005", "russian premier league", "11", "0", "none", "none", "none", "", "11", "0", "none", "none", "none", "none"], ["", "2006", "", "10", "0", "none", "none", "none", "", "10", "0", "none", "none", "none", "none"], ["", "total", "", "21", "0", "none", "none", "none", "none", "none", "none", "none", "none", "21", "0"], ["pakhtakor tashkent", "2007", "uzbek league", "26", "16", "none", "none", "-", "", "none", "none", "-", "", "26", "16"], ["", "2008", "", "25", "12", "none", "none", "-", "", "none", "none", "-", "", "25", "12"], ["", "2009", "", "21", "13", "none", "none", "-", "", "2", "0", "-", "", "23", "13"], ["", "2010", "", "22", "11", "1", "1", "-", "", "3", "1", "-", "", "26", "13"], ["", "total", "", "94", "49", "none", "none", "none", "none", "none", "none", "none", "none", "94", "49"], ["suwon samsung bluewings", "2011", "k league", "19", "3", "1", "0", "-", "", "3", "0", "-", "", "23", "3"], ["emirates club", "2011-12", "uae pro-league", "6", "2", "1", "1", "-", "", "7", "3", "none", "none", "none", "none"], ["aktobe", "2012", "kazakhstan premier league", "13", "6", "4", "1", "none", "", "5", "1", "none", "", "22", "8"], ["", "2013", "", "26", "6", "3", "0", "none", "", "7", "1", "none", "", "36", "7"], ["", "2014", "", "13", "3", "2", "0", "none", "", "0", "0", "none", "", "15", "3"], ["", "total", "", "52", "15", "9", "1", "none", "none", "12", "2", "none", "none", "73", "18"], ["lokomotiv tashkent", "2014", "uzbek league", "11", "7", "1", "0", "-", "", "0", "0", "-", "", "11", "7"], ["ordabasy", "2015", "kazakhstan premier league", "22", "3", "1", "0", "none", "", "2", "0", "none", "", "25", "3"], ["", "2016", "", "20", "10", "2", "0", "none", "", "2", "1", "none", "", "24", "11"], ["", "2017", "", "16", "0", "2", "0", "none", "", "0", "0", "none", "", "18", "0"], ["", "total", "", "58", "13", "5", "0", "none", "none", "4", "1", "none", "none", "67", "14"], ["career total", "", "", "310", "104", "none", "none", "none", "none", "none", "none", "none", "none", "310", "104"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which club did geynrikh play for in 2015? | ["ordabasy"] |
883a3552dba4f9de7b864f99321bf6d1 | hitab | {"table_id": "131_totto16059-4", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "continental", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["pomorac kostrena", "2009-10", "2. hnl", "24", "0", "4", "0", "-", "-", "28", "0"], ["", "2010-11", "", "28", "1", "1", "0", "-", "-", "29", "1"], ["istra 1961", "2011-12", "1. hnl", "19", "1", "2", "0", "-", "-", "21", "1"], ["rijeka", "2012-13", "", "20", "1", "1", "0", "-", "-", "21", "1"], ["", "2013-14", "", "19", "0", "4", "0", "9", "0", "32", "0"], ["croatia total", "", "", "129", "3", "12", "0", "9", "0", "150", "3"], ["zawisza bydgoszcz", "2014-15", "ekstraklasa", "17", "0", "0", "0", "0", "0", "17", "0"], ["persepolis", "2015-16", "pro league", "8", "0", "1", "0", "-", "-", "9", "0"], ["career total", "", "", "153", "3", "13", "0", "9", "0", "175", "3"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | which club did maric play for in 2015-16? | ["persepolis"] |
87b31a4cb71dd88bef8d73121057f5b3 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | the most important contributor to total variance was person effects, what was the percentage of the variance of earnings for male workers? | ["58.1"] |
395e1775e0baa1d69a9b65435efa0302 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | the most important contributor to total variance was person effects, what was the percentage of the variance of earnings for female workers? | ["68.5"] |
9c2a06819aba37a8eb34e98498608ab0 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | the lower contribution of person effects for male workers was compensated by a higher contribution of the variance of predicted earnings based on observable characteristics and associated covariances, what was the percentage of the variance for male workers? | ["11.2"] |
c454e5be0c141d6556300ebb61f0e9fe | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | the lower contribution of person effects for male workers was compensated by a higher contribution of the variance of predicted earnings based on observable characteristics and associated covariances, what was the percentage of the variance for female workers? | ["3.9"] |
b13838157a31b9e8609e4a4b9fc9851f | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what was the percentage of firm fixed effects for male workers? | ["11.1"] |
0dd8be8b6648f2b558a70739bd0d1ff0 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what was the percentage of firm fixed effects for female workers? | ["11.3"] |
ef09161468310693e3306eb00b7aa131 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what was the covariance between person and firm effect for male workers? | ["3.5"] |
ffb366016c74287edfd351d48b2d2085 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251", "3,243,861"], ["number of firm effects", "423,876", "356,756"], ["standard deviation of person effects", "0.438", "0.413"], ["standard deviation of firm effects", "0.192", "0.167"], ["standard deviation of predicted log earnings", "0.229", "0.220"], ["correlation of person-firm effects", "0.068", "0.000"], ["root-mean-square error of model", "0.251", "0.222"], ["adjusted r-squared of model", "0.810", "0.803"], ["correlation of estimated male-female firm effects", "..", "0.599"], ["inequality decomposition of two-way fixed effects model", "", ""], ["share of variance of log earnings attributable to", "", ""], ["person effects", "58.1", "68.5"], ["firm effects", "11.1", "11.3"], ["covariance of person and firm effects", "3.5", "0.0"], ["predicted log earnings and associated covariances", "11.2", "3.9"], ["residual", "16.2", "16.4"]], "top_header_rows_num": 3, "left_header_columns_num": 1}} | None | None | what was the covariance between person and firm effect for female workers? | ["0.0"] |
2e54ba30e524b53f6ec1bab43b5c68ea | hitab | {"table_id": "1324", "table": {"cells": [["", "very likely", "somewhat likely", "somewhat unlikely", "very unlikely", "total"], ["", "percent", "", "", "", ""], ["canadian private venture capital", "26", "13", "29", "32", "100"], ["american private venture capital", "63", "14", "17", "6", "100"], ["other private venture capital", "32", "32", "18", "18", "100"], ["financial institutions", "50", "6", "32", "12", "100"], ["initial public offering", "33", "17", "22", "28", "100"], ["personal finance", "65", "3", "18", "15", "100"], ["partners from strategic alliance", "32", "15", "26", "26", "100"], ["credit from suppliers", "53", "12", "12", "24", "100"], ["angel investors", "57", "17", "11", "14", "100"], ["government sources", "50", "21", "21", "9", "100"], ["other", "60", "7", "7", "27", "100"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which were the top three most frequently-mentioned sources of potential new capital among all the capital sources? | ["personal finance", "american private venture capital", "angel investors"] |
f99da192024a1c4e8597fd37378a9416 | hitab | {"table_id": "1325", "table": {"cells": [["", "women", "men", "difference"], ["", "percent", "", ""], ["under $5,000", "8.1", "6.4", "1.7"], ["$5,000 to $9,999", "8.4", "5.8", "2.6"], ["$10,000 to $19,999", "15.6", "10.4", "5.2"], ["$20,000 to $29,999", "13.6", "9.3", "4.3"], ["$30,000 to $39,999", "12.7", "10.2", "2.5"], ["$40,000 to $49,999", "11.5", "10.4", "1.1"], ["$50,000 to $59,999", "7.8", "9.2", "-1.4"], ["$60,000 to $79,999", "11.0", "14.3", "-3.3"], ["$80,000 to $99,999", "6.6", "9.6", "-3.0"], ["$100,000 and over", "4.8", "14.3", "-9.5"], ["total", "100.0", "100.0", ".."], ["", "dollars", "", ""], ["average", "40,600.00", "59,200.00", "-18,600.00"], ["median", "33,400.00", "47,500.00", "-14,100.00"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | which gender had a lower average annual earnings from wages, salaries and commissions in 2017, women or men? | ["women"] |
e6fb7bede1e8c774989d8ad405d52dc9 | hitab | {"table_id": "1327", "table": {"cells": [["occupations", "women", "men", "difference"], ["", "percent", "", ""], ["mine service workers and operators in oil and gas drilling", "0.01", "0.08", "0.08"], ["central control and process operators in processing and manufacturing", "0.01", "0.14", "0.13"], ["train crew operating occupations", "0.00", "0.06", "0.05"], ["contractors and supervisors, industrial, electrical and construction trades and related workers", "0.06", "1.08", "1.01"], ["other installers, repairers and servicers", "0.03", "0.49", "0.46"], ["other transport equipment operators and related maintenance workers", "0.02", "0.29", "0.28"], ["underground miners, oil and gas drillers and related occupations", "0.02", "0.35", "0.33"], ["logging machinery operators", "0.00", "0.08", "0.08"], ["contractors and supervisors, mining, oil and gas", "0.01", "0.19", "0.18"], ["supervisors, logging and forestry", "0.00", "0.03", "0.03"], ["machining, metal forming, shaping and erecting trades", "0.05", "1.31", "1.26"], ["masonry and plastering trades", "0.02", "0.57", "0.55"], ["automotive service technicians", "0.04", "1.06", "1.03"], ["heavy equipment operators", "0.03", "0.90", "0.87"], ["electrical trades and electrical power line and telecommunications workers", "0.04", "1.31", "1.27"], ["machinery and transportation equipment mechanics", "0.04", "1.49", "1.46"], ["plumbers, pipefitters and gas fitters", "0.01", "0.62", "0.60"], ["carpenters and cabinetmakers", "0.02", "1.11", "1.09"], ["other mechanics and related repairers", "0.00", "0.21", "0.21"], ["crane operators, drillers and blasters", "0.00", "0.14", "0.14"], ["total", "0.40", "11.52", ".."]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | what is the percentage of men who were in the total 20 occupations men in 2017? | ["11.52"] |
4f04030fb1433edd5fa2e805c7841bfd | hitab | {"table_id": "1328", "table": {"cells": [["change in real log gender wage ratio", "-0.062"], ["gender gap in log wages in 2017", "0.134"], ["gender gap in log wages in 1997", "0.196"], ["percent due to change in gender differences in characteristics", "46.8"], ["province", "-3.3"], ["education", "13.1"], ["age", "-5.3"], ["job tenure", "2.4"], ["union status", "11.2"], ["public-sector employment", "8.9"], ["occupation", "27.7"], ["industry", "-8"], ["percent due to changes in gender differences in returns to characteristics", "53.2"]], "top_header_rows_num": 2, "left_header_columns_num": 1}} | None | None | what is the percentage of decrease in the gender wage gap that occurred between 1997 and 2017 which was explained by changes in the relative characteristics of women and men? | ["46.8"] |
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