中国历年GDP增长率在什么地方能查到?在国家统计局网站上怎么查？ 哪里可以查到历年国内生产总值的数据
\u4e2d\u56fd\u5386\u5e74\u540d\u4e49GDP\u5728\u54ea\u53ef\u4ee5\u67e5\u5f97\u5230\uff1f\u6211\u5728\u7edf\u8ba1\u5c40\u7684\u7f51\u7ad9\u91cc\u9762\u53ea\u80fd\u627e\u5230\u5b9e\u9645GDP\u7684\u6570\u636e\u3002\u60a8\u597d\uff0c\u4e2d\u56fd\u5386\u5e74\u540d\u4e49GDP\u6570\u636e\u5728\u56fd\u5bb6\u7edf\u8ba1\u5c40\u5b98\u7f51\u6216\u8005\u4e1c\u65b9\u8d22\u5bcc\u7f51\u6570\u636e\u4e2d\u5fc3\u91cc\u53ef\u4ee5\u67e5\u8be2\u7684\u5230\u3002\u9996\u5148\uff0c\u660e\u786e\u6982\u5ff5\u3002\u4f60\u95ee\u7684\u540d\u4e49GDP\u548c\u5b9e\u9645GDP\u5e94\u8be5\u662f\u7ecf\u6d4e\u5b66\u91cc\u7684\u6982\u5ff5\u3002\u540d\u4e49GDP\u4e3a\u542b\u4ef7\u683c\u56e0\u7d20\u7684GDP\uff0c\u540d\u4e49GDP\u53c8\u79f0\u8d27\u5e01GDP\uff0c\u662f\u6307\u4ee5\u5f53\u5e74\u5546\u54c1\u548c\u670d\u52a1\u7684\u9500\u552e\u4ef7\u683c\u8ba1\u7b97\u7684\u6240\u6709\u6700\u7ec8\u4ea7\u54c1\u7684\u5e02\u573a\u4ef7\u503c\uff0c\u5b9e\u9645GDP\u4e3a\u6263\u9664\u4ef7\u683c\u56e0\u7d20\u7684GDP\u3002\u56fd\u5bb6\u7edf\u8ba1\u5c40\u7684GDP\u6709\u4e24\u79cd\uff0c\u4e00\u79cd\u662f\u5f53\u5e74\u4ef7\u683c\uff0c\u4e00\u79cd\u662f\u4e0d\u53d8\u4ef7\u3002\u56e0\u6b64\uff0c\u5728\u4e2d\u56fd\u7edf\u8ba1\u5e74\u9274\u4e2d\uff0cGDP\u8868\u4e3a\u540d\u4e49GDP\uff0c\u4e0d\u53d8\u4ef7GDP\u8868\u4e3a\u5b9e\u9645GDP\u3002\u5177\u4f53\u8def\u5f84\u662f\uff1a\u56fd\u5bb6\u7edf\u8ba1\u5c40\u9996\u9875-\u7edf\u8ba1\u6570\u636e-\u5e74\u5ea6\u6570\u636e-\u968f\u4fbf\u627e\u4e2a\u6307\u6807\u70b9\u8fdb\u53bb\u3002\u67e5\u8be2\u4e2d\u56fd\u540d\u4e49GDP\uff0c\u53ef\u4ee5\u5230\u56fd\u5bb6\u7edf\u8ba1\u5c40\u5b98\u7f51\u3001\u5730\u7406\u5f62\u52bf\u76d1\u6d4b\u4e91\u5e73\u53f0\u3001\u4e1c\u65b9\u8d22\u5bcc\u7f51\u6570\u636e\u4e2d\u5fc3\u7b49\u7f51\u7ad9\u67e5\u8be2\u3002\u62d3\u5c55\u8d44\u6599\uff1a1\u3001GDP\u53c8\u79f0\u56fd\u5185\u751f\u4ea7\u603b\u503c\uff0c\u662f\u6307\u4e00\u4e2a\u56fd\u5bb6\u6216\u5730\u533a\u5728\u4e00\u5b9a\u65f6\u671f\u5185\u751f\u4ea7\u7684\u6240\u6709\u6700\u7ec8\u4ea7\u54c1\u7684\u5e02\u573a\u4ef7\u503c\u3002GDP\u5206\u4e3a\u5b9e\u9645GDP\u548c\u540d\u4e49GDP\u3002\u5b83\u4eec\u4e4b\u95f4\u5b58\u5728\u4e00\u5b9a\u7684\u533a\u522b\u548c\u8054\u7cfb\uff0c\u5176\u4e2d\u533a\u522b\u5982\u4e0b\uff1a\u4ed6\u4eec\u7684\u5b9a\u4e49\u4e0d\u540c\uff1b\u540d\u4e49GDP\u662f\u6307\u4e00\u5b9a\u65f6\u671f\u5185\u4ee5\u5f53\u524d\u5e02\u573a\u4ef7\u683c\u8ba1\u7b97\u7684\u56fd\u5185\u4ea7\u54c1\u548c\u670d\u52a1\u7684\u603b\u4ef7\u683c\uff0c\u800c\u5b9e\u9645GDP\u662f\u6307\u5728\u76f8\u540c\u4ef7\u683c\u6216\u8d27\u5e01\u4ef7\u503c\u4e0d\u53d8\u7684\u60c5\u51b5\u4e0b\uff0c\u4e0d\u540c\u65f6\u671f\u751f\u4ea7\u7684\u6240\u6709\u4ea7\u51fa\u7684\u5b9e\u9645\u4ef7\u503c\u30022\u3001\u540d\u4e49GDP\u7684\u53d8\u5316\u6709\u4e24\u4e2a\u539f\u56e0\uff1a\u4e00\u662f\u5b9e\u9645\u4ea7\u51fa\u7684\u53d8\u5316\uff0c\u4e8c\u662f\u4ef7\u683c\u7684\u53d8\u5316\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u540d\u4e49GDP\u7684\u53d8\u5316\u4e0d\u4ec5\u53cd\u6620\u4e86\u5b9e\u9645\u4ea7\u51fa\u7684\u53d8\u5316\uff0c\u4e5f\u53cd\u6620\u4e86\u4ef7\u683c\u7684\u53d8\u5316\u3002\u540d\u4e49GDP\u7528\u5f53\u671f\u7684\u4ef7\u683c\u6765\u8861\u91cf\u5f53\u671f\u7684\u4ea7\u51fa\u6216\u6536\u5165\uff0c\u800c\u5b9e\u9645GDP\u5219\u7528\u65e2\u5b9a\u57fa\u671f\u7684\u4ef7\u683c\u6765\u8861\u91cf\u5f53\u671f\u7684\u4ea7\u51fa\u6216\u6536\u5165\u3002\u5176\u8054\u7cfb\u65b9\u5f0f\u5982\u4e0b\uff1a\u5b9e\u9645GDP=\u540d\u4e49GDP/GDP\u6362\u7b97\u6307\u6570\uff08\u5373\u603b\u4ef7\u683c\u6c34\u5e73\uff09\uff0c\u5373\u6295\u8d44\u8005\u53ef\u4ee5\u6839\u636e\u540d\u4e49GDP\u548cGDP\u6362\u7b97\u6307\u6570\u8ba1\u7b97\u5b9e\u9645GDP\uff0c\u4e5f\u53ef\u4ee5\u6839\u636e\u5b9e\u9645GDP\u548cGDP\u6362\u7b97\u6307\u6570\u8ba1\u7b97\u540d\u4e49GDP \u30023\u3001\u4e24\u8005\u90fd\u53ef\u4ee5\u7528\u6765\u8868\u793a\u56fd\u6c11\u751f\u4ea7\u603b\u503c\u548c\u7ecf\u6d4e\u53d1\u5c55\u3002\u4e24\u8005\u91c7\u7528\u4e0d\u540c\u7684\u4ef7\u683c\u6c34\u5e73\uff1a\u524d\u8005\u7528\u5f53\u671f\u7684\u4ef7\u683c\u6765\u8861\u91cf\u5f53\u671f\u7684\u4ea7\u51fa\u6216\u6536\u5165\uff0c\u540e\u8005\u7528\u65e2\u5b9a\u57fa\u671f\u7684\u4ef7\u683c\u6765\u8861\u91cf\u5f53\u671f\u7684\u4ea7\u51fa\u6216\u6536\u5165\u3002\u4e24\u8005\u7684\u7ecf\u6d4e\u610f\u4e49\u4e0d\u540c\uff1a\u524d\u8005\u7528\u73b0\u4ef7\u8861\u91cf\u5f53\u671f\u4ea7\u51fa\uff0c\u8868\u793a\u540d\u4e49GDP\u8861\u91cf\u5f53\u671f\u7ecf\u6d4e\u6d3b\u52a8\u7684\u7efc\u5408\u7ed3\u679c\uff0c\u65e2\u5305\u62ec\u4ef7\u683c\u6c34\u5e73\uff0c\u4e5f\u5305\u62ec\u4ea7\u51fa\uff1b\u4e0e\u540e\u8005\u76f8\u6bd4\uff0c\u5b83\u76f8\u5bf9\u51c6\u786e\u5730\u8861\u91cf\u4e86\u5f53\u671f\u7684\u4ea7\u51fa\u7ed3\u679c\uff0c\u66f4\u597d\u5730\u8bf4\u660e\u4e86\u7269\u8d28\u8d22\u5bcc\u7684\u8fdb\u5c55\u3002\u4e24\u79cd\u8ba1\u7b97\u65b9\u5f0f\u4e0d\u540c\uff1a\u540d\u4e49\u56fd\u5185\u751f\u4ea7\u603b\u503c\uff1a\u540d\u4e49\u56fd\u5185\u751f\u4ea7\u603b\u503c\uff08GDP\uff09\uff0c\u4e5f\u79f0\u4e3a\u8d27\u5e01\u56fd\u5185\u751f\u4ea7\u603b\u503c\uff0c\u662f\u6309\u5f53\u5e74\u5546\u54c1\u548c\u670d\u52a1\u4ef7\u683c\u8ba1\u7b97\u7684\u6240\u6709\u6700\u7ec8\u4ea7\u54c1\u7684\u5e02\u573a\u4ef7\u503c\u3002\u5b9e\u9645GDP\uff1a\u5b9e\u9645GDP\uff08GDP\uff09\u662f\u4ee5\u4e0a\u5e74\u4ef7\u683c\u4e3a\u57fa\u671f\u8ba1\u7b97\u5f97\u51fa\u7684\u5f53\u5e74\u6240\u6709\u6700\u7ec8\u4ea7\u54c1\u7684\u5e02\u573a\u4ef7\u503c\u3002
http://www.stats.gov.cn/
\u4e2d\u534e\u4eba\u6c11\u5171\u548c\u56fd\u56fd\u5bb6\u7edf\u8ba1\u5c40\uff0c\u91cc\u9762\u6709\u56fd\u6c11\u7ecf\u6d4e\u6570\u636e\u7684\u8868\u683c,\u5b63\u5ea6\u7684\u8981\u81ea\u5df1\u70b9\u51fb\u8fdb\u53bb\u627e\uff1a
\u5e74 \u4efd \u56fd\u6c11\u603b\u6536\u5165 \u56fd\u5185\u751f\u4ea7\u603b\u503c(GDP)
1978 3645.2 3645.2
1979 4062.6 4062.6
1980 4545.6 4545.6
1981 4889.5 4891.6
1982 5330.5 5323.4
1983 5985.6 5962.7
1984 7243.8 7208.1
1985 9040.7 9016.0
1986 10274.4 10275.2
1987 12050.6 12058.6
1988 15036.8 15042.8
1989 17000.9 16992.3
1990 18718.3 18667.8
1991 21826.2 21781.5
1992 26937.3 26923.5
1993 35260.0 35333.9
1994 48108.5 48197.9
1995 59810.5 60793.7
1996 70142.5 71176.6
1997 78060.8 78973.0
1998 83024.3 84402.3
1999 88479.2 89677.1
2000 98000.5 99214.6
2001 108068.2 109655.2
2002 119095.7 120332.7
2003 135174.0 135822.8
2004 159586.7 159878.3
2005 184739.1 183867.9
2006 211808.0 210871.0
2007 251481.0 249530.0
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http://www.360doc.com/content/11/0308/22/6226464_99375278.shtml
在国家统计局网站上查。 里面有 统计数据 可以查询
绛旓細涓銆佺瓟妗 涓浗鍘嗗勾GDP澧為暱鐜囧彲浠ュ湪鏀垮簻鍙戝竷鐨勫畼鏂规暟鎹腑鏌ヨ寰楀埌銆傛讳綋鏉ヨ锛岄殢鐫涓浗缁忔祹鐨勫彂灞曞拰鏀归潻寮鏀剧殑娣卞叆鎺ㄨ繘锛屼腑鍥界殑GDP澧為暱鐜囧湪杩囧幓鍑犲崄骞翠腑鍛堢幇鍑烘尝鍔ㄤ腑涓婂崌鐨勮秼鍔裤傝繎骞存潵锛岄殢鐫缁忔祹鍙戝睍杩涘叆鏂板父鎬侊紝GDP澧為暱鐜囬愭笎瓒嬩簬绋冲畾锛屼繚鎸佸湪鐩稿杈冮珮姘村钩銆傚叿浣撶殑GDP澧為暱鐜囧彲閫氳繃鏌ラ槄鍥藉缁熻灞鍙戝竷鐨勫巻骞村浗...
绛旓細鍥藉缁熻灞鐨勭綉绔欎笂鏈変釜鈥滅粺璁℃暟鎹濈殑鏍忕洰锛屾暟鎹兘鍦ㄩ噷闈
绛旓細13. 2012骞达紝涓浗GDP涓519322浜垮厓锛澧為暱鐜涓7.80%銆14. 2013骞达紝GDP鎬绘暟杈惧埌568845浜垮厓锛屽闀跨巼涓7.70%銆15. 2014骞达紝鍥藉唴鐢熶骇鎬诲澧炶嚦636463浜垮厓锛屽闀跨巼涓7.40%銆16. 2015骞达紝涓浗GDP杈惧埌677000浜垮厓锛屽闀跨巼涓6.90%銆17. 2016骞达紝GDP鎬婚噺鍗囪嚦744127浜垮厓锛屽闀跨巼涓6.70%銆18. 2017骞达紝涓浗...
绛旓細1. 鏍规嵁涓浗鏀垮簻缃戠殑鏁版嵁锛2013骞磋嚦2022骞达紝涓浗鐨勫浗鍐呯敓浜ф诲硷紙GDP锛変粠59.3涓囦嚎鍏冨鍔犲埌121涓囦嚎鍏冿紝骞村潎澧為暱鐜囪秴杩囦簡6%銆2. 浠ュ勾骞冲潎姹囩巼璁＄畻锛屼腑鍥界殑缁忔祹鎬婚噺杈惧埌浜18涓囦嚎缇庡厓锛岀ǔ鍥哄湴鍗犳嵁浜嗕笘鐣岀浜岀殑浣嶇疆銆3. 鍒2023骞达紝涓浗缁忔祹绀句細鍙戝睍涓昏棰勬湡鐩爣鏈夋湜瀹炵幇锛岃繖琛ㄦ槑涓浗鐨勭粡娴庢婚噺灏嗙户缁繚鎸佺ǔ...
绛旓細37. 2014骞达細7.3 38. 2015骞达細6.9 39. 2016骞达細6.7 40. 2017骞达細6.8 41. 2018骞达細6.6 42. 2019骞达細6.1 43. 2020骞达細2.3 杩欎簺鏁版嵁鏄剧ず锛涓浗鐨GDP澧為暱鐜囧湪杩囧幓鍑犲崄骞翠腑铏界劧鏈夋墍娉㈠姩锛屼絾鎬讳綋涓婁繚鎸佷簡杈冮珮鐨勫闀块熷害銆傜劧鑰岋紝鐢变簬鏂板啝鐤儏鐨勫奖鍝嶏紝2020骞寸殑GDP澧為暱鐜囧嚭鐜颁簡鏄捐憲涓嬮檷銆
绛旓細涓浗鐨GDP澧為暱鐜囧湪杩囧幓鍑犲勾涓〃鐜板嚭涓瀹氱殑娉㈠姩鎬с備互涓嬫槸1985骞磋嚦2021骞涓浗鍘嗗勾GDP澧為暱鐜鐨勪慨璁㈠悗鏁版嵁锛堟暟鎹潵婧愶細涓栫晫閾惰锛夛細1. 1985骞达細13.5 2. 1986骞达細8.9 3. 1987骞达細11.6 4. 1988骞达細11.3 5. 1989骞达細4.2 6. 1990骞达細3.9 7. 1991骞达細9.3 8. 1992骞达細14.2 9. 1993骞...
绛旓細涓浗gdp鐨勫闀垮巻绋嬩綋鐜颁簡鍥藉缁忔祹鐨勭ǔ姝ユ彁鍗囷紝浠ヤ笅鏄鍘嗗勾澧為暱鐜囩殑鍏蜂綋鏁版嵁锛氥1銆2010骞达紝涓浗鐨gdp澧為暱鐜涓10.64%锛屾婚噺杈惧埌6.09涓囦嚎缇庡厓锛屽湪鍏ㄧ悆缁忔祹涓墍鍗犱唤棰濅负9.2158%銆傘2銆2011骞达紝涓浗鐨刧dp澧為暱鐜囨湁鎵涓嬮檷鑷9.55%锛屾诲煎鑷7.55涓囦嚎缇庡厓锛屽崰姣旀彁鍗囪嚦10.2891%銆傘3銆2012骞达紝闈㈠鍏ㄧ悆缁忔祹...
绛旓細鏈潵20骞达紝涓浗缁忔祹灏嗕繚鎸7锛18锛呯殑澧為暱閫熷害銆備粖骞鍥藉唴鐢熶骇鎬诲煎闀澶氬皯 浠婂勾涓骞磋繕娌℃湁杩囧畬锛屾墍浠ヨ繕娌℃湁璧勬枡锛屼粠绗竴瀛ｅ害鏉ョ湅锛澧為暱鐜杩樹笉閿欙紝6.9%锛岃屼笖鍚嶄箟澧為暱鐜囨洿鍔犵粰鍔涳紝杈惧埌浜10%锛屼竴涓緢澶稿紶鐨勮祫鏂欍傛垜鍥借繘5骞寸殑鍥藉唴鐢熶骇鎬诲 2001:鎴戝浗GDP杈惧埌95933浜垮厓 2002:涓浗GDP鎬诲煎皢瓒10.2涓囦嚎...
绛旓細涓浗鐨GDP澧為暱鐜閫氬父鍙楀埌澶氫釜鍥犵礌鐨勫奖鍝嶏紝鍖呮嫭鍥藉唴娑堣垂闇姹傘佸嚭鍙ｃ佹姇璧勩佹斂搴滄斂绛栫瓑銆傝繖浜涘洜绱犵殑鍙樺寲鍙兘浼氬鑷碐DP澧為暱鐜囩殑娉㈠姩銆備緥濡傦紝鍦ㄥ叏鐞冮噾铻嶅嵄鏈烘湡闂达紝涓浗鐨勫嚭鍙ｅ彈鍒颁弗閲嶅奖鍝嶏紝瀵艰嚧GDP澧為暱鐜囦笅闄嶃傜浉鍙嶏紝鍦ㄦ斂搴滈噰鍙栧埡婵鏀跨瓥鐨勬儏鍐典笅锛孏DP澧為暱鐜囧彲鑳戒細涓婂崌銆備负浜嗘煡鎵涓浗GDP鍘嗗勾澧為暱鐜囩殑鍏蜂綋鏁板瓧锛屽彲浠ュ弬鑰...
绛旓細1. 2010骞达紝涓浗鐨凣DP澧為暱鐜囦负10.64%锛屾婚杈惧埌6.09涓囦嚎缇庡厓锛屽湪鍏ㄧ悆缁忔祹涓殑鍗犳瘮涓9.2158%銆2. 2011骞达紝涓浗鐨凣DP澧為暱鐜囦笅闄嶈嚦9.55%锛屼絾鎬婚鎻愬崌鑷7.55涓囦嚎缇庡厓锛屽叏鐞冨崰姣旀彁鍗囪嚦10.2891%銆3. 2012骞达紝涓浗GDP澧為暱鐜杩涗竴姝ユ斁缂撹嚦7.86%锛屾婚涓8.53涓囦嚎缇庡厓锛屽叏鐞冨崰姣旇揪鍒11.3634%銆4. ...
