international rankings of iran
the happy planet index ranked three points higher than the environmental performance index in the international rankings of iran .
{'row_1': '4', 'row_2': '5', 'col': '2', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'happy planet index'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to happy planet index .', 'tostr': 'filter_eq { all_rows ; name ; happy planet index }'}, 'rank'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; name ; happy planet index } ; rank }', 'tointer': 'select the rows whose name record fuzzily matches to happy planet index . take the rank record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'environmental performance index'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose name record fuzzily matches to environmental performance index .', 'tostr': 'filter_eq { all_rows ; name ; environmental performance index }'}, 'rank'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; name ; environmental performance index } ; rank }', 'tointer': 'select the rows whose name record fuzzily matches to environmental performance index . take the rank record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; name ; happy planet index } ; rank } ; hop { filter_eq { all_rows ; name ; environmental performance index } ; rank } } = true', 'tointer': 'select the rows whose name record fuzzily matches to happy planet index . take the rank record of this row . select the rows whose name record fuzzily matches to environmental performance index . take the rank record of this row . the first record is greater than the second record .'}
greater { hop { filter_eq { all_rows ; name ; happy planet index } ; rank } ; hop { filter_eq { all_rows ; name ; environmental performance index } ; rank } } = true
select the rows whose name record fuzzily matches to happy planet index . take the rank record of this row . select the rows whose name record fuzzily matches to environmental performance index . take the rank record of this row . the first record is greater than the second record .
{'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'name_7': 'name', 'happy planet index_8': 'happy planet index', 'rank_9': 'rank', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'name_11': 'name', 'environmental performance index_12': 'environmental performance index', 'rank_13': 'rank'}
['name', 'rank', 'out of', 'source', 'year']
[['environmental sustainability index', '132', '146', 'yale university', '2005'], ['greenhouse emissions per capita', '74', 'world', 'world resources institute', '2000'], ['number of species under threat of extinction', '37', '158', 'united nations', '1999'], ['happy planet index', '81', '178', 'new economics foundation', '2009'], ['environmental performance index', '78', '153', 'yale university / columbia university', '2010'], ['total renewable water resources', '58', '151', 'cia world factbook', '2008'], ['water availability per capita', '116', '141', 'united nations', '2001'], ['biodiversity richness', '13', '53', 'world conservation monitoring centre', '1994'], ['carbon efficiency', '28', '141', 'carbon dioxide information analysis center', '2005'], ['coral reefs area', '19', '28', 'united nations', '2005'], ['endangered species protection', '71', '141', 'cites', '2000'], ['land use statistics by country', '16', '176', 'cia world factbook', '2005'], ['carbon dioxide emissions per capita', '70', '210', 'united nations', '2003'], ['total carbon dioxide emissions', '11', '210', 'united nations', '2006'], ['total forest area', '47', '220', 'united nations', '2007'], ['fresh water withdrawal', '11', '168', 'cia world factbook', '2000'], ['industrial water pollution', '14', '129', 'world bank', '2003']]