免费看黄色大片-久久精品毛片-欧美日韩亚洲视频-日韩电影二区-天天射夜夜-色屁屁ts人妖系列二区-欧美色图12p-美女被c出水-日韩的一区二区-美女高潮流白浆视频-日韩精品一区二区久久-全部免费毛片在线播放网站-99精品国产在热久久婷婷-午夜精品理论片-亚洲人成网在线播放

Latin America must improve statistics use, says regional bloc

Source: Xinhua| 2018-10-04 12:47:26|Editor: ZX
Video PlayerClose

SANTIAGO, Oct. 3 (Xinhua) -- The Latin American and Caribbean region must improve its use of statistics, said Alicia Barcena, secretary general of the United Nations Economic Commission for Latin America and the Caribbean (ECLAC) on Wednesday.

The secretary general said the region must integrate the benefits of "big data" into official statistics and obtain better statistics on gender.

Barcena opened the 17th meeting of the Statistical Conference of the Americas (CEA) Executive Committee in Santiago, Chile.

Barcena underlined the importance of statistics for the region's governments ahead of next year's evaluation of the first five years of the 2030 Agenda for Sustainable Development.

She said that it would be a "critical year" for the region's statistics institutions as governments seek evidence of their progress toward the agenda's 17 sustainable development goals.

Guillermo Pattillo, director of Chile's National Institute of Statistics and president of the CEA Executive Committee, said that CEA Executive Committee is tasked with reviewing progress and looking at future challenges.

"One of those is the real generation of open data. These days, open data are the standard that our institutes must attain," he said.

He added that national statistics offices must pursue the goal of "producing data that have true meaning for society, are important for decision-making, and are socially useful."

Pascual Gerstenfeld, director of the ECLAC Division of Statistics echoed the importance of statistics, and said that "we are at a historic and privileged moment in time," where the "production of indicators for accountability ... allow us to better design evidence-based policies."

TOP STORIES
EDITOR’S CHOICE
MOST VIEWED
EXPLORE XINHUANET
010020070750000000000000011100001375109991