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4月70城房价公布:67城环比上涨 秦皇岛涨1.8%领跑


来源:中国新闻网

原标题:4月70城房价公布:67城环比上涨 秦皇岛涨1.8%领跑据国家统计局网站消息,国家统计局今日发布2019年4月份70个大中城市商品住宅销售价格变动情况统计数据。70个大中城市中,有67城新建商

原标题:4月70城房价公布:67城环比上涨 秦皇岛涨1.8%领跑

据国家统计局网站消息,国家统计局今日发布2019年4月份70个大中城市商品住宅销售价格变动情况统计数据。70个大中城市中,有67城新建商品住宅价格环比上涨,而3月为65城;其中,秦皇岛以涨幅1.8%领跑,北京、上海、广州、深圳分别涨0.5%、涨0.3%、涨1.1%、涨0.4%。

表1:2019年4月70个大中城市新建商品住宅销售价格指数

城市环比同比定基城市环比同比定基
上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100
北京100.5103.5139.8唐山100.5113.2125.7
天津100.7102.4132.5秦皇岛101.8120.1139.8
石家庄100.5117.6147.2包头100.7111.5119.3
太原100.6111.6128.1丹东100.6118.5123.3
呼和浩特100.5122.3134.0锦州100.5113.3113.7
沈阳100.7112.5132.6吉林100.6114.7126.5
大连100.7113.2130.7牡丹江100.4112.8119.8
长春100.6111.4128.8无锡100.1107.7142.6
哈尔滨100.9114.6134.3扬州100.5113.3139.9
上海100.3101.5147.3徐州100.8117.8145.8
南京100.5103.0149.5温州100.1102.9117.3
杭州101.0107.7143.6金华100.9105.3127.2
宁波100.6107.1132.1蚌埠100.6108.8127.0
合肥100.4107.4158.6安庆100.1110.4125.1
福州100.7110.6140.9泉州100.3101.4112.3
厦门100.6101.1153.0九江100.7110.7135.2
南昌100.8110.9138.2赣州99.9106.9124.9
济南101.0118.2144.8烟台100.7113.1132.4
青岛100.4114.7135.9济宁100.7114.4127.0
郑州100.5110.4143.9洛阳101.0112.7130.2
武汉101.0114.8148.9平顶山100.6108.8123.5
长沙100.2110.9141.3宜昌100.6112.9132.0
广州101.1113.3155.1襄阳100.7115.2126.1
深圳100.4100.7145.8岳阳100.2106.5122.8
南宁100.9111.5138.8常德100.9112.9126.2
海口100.9115.7141.6惠州100.2103.0135.5
重庆101.2112.2135.9湛江100.4108.4127.1
成都100.8115.4143.1韶关99.9104.4122.7
贵阳100.9120.1143.8桂林100.0109.2124.0
昆明101.2116.8137.1北海101.2113.6135.8
西安101.1123.8155.6三亚100.9112.0147.1
兰州100.1110.2122.3泸州100.2111.6124.5
西宁100.5115.3124.2南充100.9112.7128.5
银川100.5109.4117.4遵义100.6113.1126.9
乌鲁木齐100.6107.9117.1大理100.5121.0135.7

表2:2019年4月70个大中城市二手住宅销售价格指数

 
城市环比同比定基城市环比同比定基
上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100
北京100.6100.6146.9唐山101.5111.0117.8
天津100.9104.5136.6秦皇岛101.5112.5124.6
石家庄100.3106.4127.2包头100.7107.6109.5
太原101.2108.2127.0丹东100.8107.7110.7
呼和浩特101.5122.1126.4锦州100.3107.0101.2
沈阳100.8110.4121.2吉林100.8110.1117.3
大连100.8109.1118.9牡丹江100.4106.6111.1
长春101.0111.0120.3无锡100.3104.9136.4
哈尔滨101.0110.5123.4扬州100.7109.3124.7
上海100.599.0138.5徐州100.0108.6122.6
南京100.2101.6140.0温州100.8102.1113.9
杭州100.9104.1142.5金华100.4103.3119.5
宁波100.7103.9125.3蚌埠100.5107.9121.5
合肥100.6104.2158.1安庆99.2106.2120.7
福州100.5101.2126.5泉州100.0101.4114.5
厦门101.3100.1138.7九江100.6107.6123.6
南昌100.5111.0132.5赣州100.4108.9125.0
济南99.7111.3133.4烟台100.8112.5124.5
青岛99.8106.8132.4济宁100.9116.7130.0
郑州100.2101.4131.6洛阳101.1110.1118.5
武汉99.8107.8147.5平顶山100.7108.6116.9
长沙100.3106.2136.1宜昌99.9108.8123.0
广州99.6100.0147.8襄阳101.0112.1119.9
深圳101.1103.8154.0岳阳100.0105.6114.2
南宁101.4111.7130.6常德99.8107.3115.3
海口100.9108.2115.9惠州100.2105.7131.6
重庆100.8109.3128.3湛江99.8103.1113.1
成都99.8106.9117.5韶关100.3108.2116.5
贵阳100.2111.6122.8桂林100.6107.7108.5
昆明100.1115.0127.6北海100.6109.6123.4
西安100.9113.1122.9三亚100.9114.1123.5
兰州100.2110.6117.5泸州99.5108.5119.7
西宁102.0112.2114.9南充99.8106.4119.9
银川100.3106.9108.0遵义99.9108.7117.9
乌鲁木齐101.3109.6124.7大理100.8118.6123.1

表3:2019年4月70个大中城市新建商品住宅销售价格分类指数(一)

城市90m2及以下90-144m2144m2以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100
北京100.5102.2125.6100.4101.9142.1100.5105.6148.6
天津100.4102.4139.8100.7102.4132.0100.9102.3128.4
石家庄100.8118.2144.0100.4117.1148.4100.5118.3146.2
太原100.8114.9133.2100.2109.6128.7101.1113.3125.5
呼和浩特100.8120.5128.9100.3122.1134.5100.8123.6135.6
沈阳100.6110.5133.0101.0113.1132.9100.5115.8131.4
大连101.1113.5131.0100.4113.1133.9100.4112.8124.0
长春100.6111.4134.9100.5110.4125.2100.6113.1126.9
哈尔滨100.4113.4132.0101.1114.6134.5100.9115.9136.4
上海100.1101.4150.2100.2101.8148.1100.5101.4145.7
南京100.4101.6152.9100.3103.4149.6101.1103.6146.5
杭州101.4108.9150.7100.8107.2141.5100.8106.5137.3
宁波100.3108.6139.0100.7107.0132.4100.6106.6129.1
合肥100.3106.2156.0100.4107.6158.9100.6108.4161.6
福州100.5108.9137.4100.5108.8138.7100.9114.2145.9
厦门100.499.3150.6100.7101.2155.3100.6102.2150.9
南昌100.1108.8139.6100.7110.6137.8101.7113.1139.0
济南100.5117.9141.6101.1118.3145.2100.8118.0145.0
青岛100.7116.5137.4100.4113.6136.1100.0113.7132.7
郑州100.6110.6146.7100.3110.2142.8100.3110.2138.8
武汉101.2116.8151.3101.0113.3148.8100.2117.3146.1
长沙100.6112.0140.7100.2111.0141.299.9110.2141.7
广州101.2113.1157.6101.3112.6153.3100.7114.4156.3
深圳100.1100.7144.8100.9101.4146.5100.6100.1147.0
南宁100.6111.8140.7101.0110.5136.6101.2113.7140.1
海口100.5115.5138.0100.7115.5143.4101.8116.6140.2
重庆101.6114.4141.8101.3110.8132.9100.2111.1131.8
成都100.8116.9144.1100.8113.5141.6101.1115.5143.7
贵阳100.8122.1146.8100.9118.9143.7101.2120.9139.8
昆明101.4115.9136.9101.1116.3137.9101.3118.7135.9
西安100.8125.3157.1101.5123.9155.9100.7122.2153.6
兰州100.5112.1126.4100.0109.2120.899.9109.3119.5
西宁99.4112.9124.0100.7115.8124.8100.5115.2122.2
银川101.0109.1116.9100.2109.1116.9101.1110.3118.9
乌鲁木齐101.3107.4117.3100.7108.3119.899.8107.0109.8

表3:2019年4月70个大中城市新建商品住宅销售价格分类指数(二)

城市90m2及以下90-144m2144m2以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100
唐山100.7111.4123.1100.4113.9126.8100.6113.5126.2
秦皇岛101.7119.5140.8101.9120.4140.9101.8119.7134.1
包头100.8113.5124.8100.6110.8118.0101.0112.1119.3
丹东100.7117.8124.8100.3118.5123.0101.3119.7121.4
锦州100.4112.6110.7100.6113.7114.9100.3111.3115.8
吉林100.4114.2126.5100.8114.6126.0100.5116.9128.5
牡丹江100.0111.3117.3100.5113.2121.3101.8116.6119.5
无锡100.1110.5150.7100.2106.1143.5100.1108.8134.8
扬州100.3114.7141.1100.7113.4140.2100.1112.3138.1
徐州100.5119.1147.8100.8117.2145.2101.4119.2146.7
温州100.0106.0117.6100.2101.8118.099.9102.2116.3
金华101.2106.7131.0100.6105.3128.8101.1103.9121.2
蚌埠100.7109.1127.0100.6108.7127.6100.6108.8119.7
安庆100.1109.2124.9100.0110.9125.7101.2109.7122.1
泉州101.0102.1114.299.7100.5110.4100.9102.3114.1
九江100.4111.3138.5100.9110.6134.2100.1110.8137.1
赣州99.8105.4124.099.7107.0123.9100.4107.9130.1
烟台100.6112.9129.5100.8113.3135.9100.5113.0127.1
济宁100.0111.6126.4101.0115.6128.5100.2112.2123.5
洛阳101.5112.3138.0101.1113.3129.6100.4111.4126.0
平顶山100.6111.8122.5100.6107.6123.9100.4108.9123.5
宜昌100.5114.0134.4100.6112.6131.2100.5113.4132.9
襄阳101.0117.1132.9100.6114.7125.0101.1115.0122.7
岳阳100.8107.8123.699.9106.0121.0100.1106.7126.1
常德101.1114.7132.1100.9112.1124.6100.6111.6119.8
惠州99.7104.1138.4100.1101.7134.1100.6104.8135.9
湛江100.2108.6126.1100.2107.7127.3101.3110.1128.3
韶关100.3106.3124.099.8103.6122.599.9105.3122.6
桂林100.0109.9122.9100.1108.8123.999.5109.8125.3
北海101.0113.1135.5101.4114.6136.9100.9112.8133.1
三亚101.0112.6147.1100.8112.5149.4100.9110.3144.0
泸州100.6111.7125.3100.0111.5124.2100.5112.9123.0
南充101.4113.1128.6100.8112.7128.7100.6110.5124.3
遵义100.4112.7128.0100.8113.3126.0100.2112.8130.2
大理101.2119.5137.999.9121.8137.0100.8120.9133.4

表4:2019年4月70个大中城市二手住宅销售价格分类指数(一)

城市90m2及以下90-144m2144m2以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100
北京100.4101.4148.1100.699.6144.6101.1100.0147.6
天津101.2105.2139.4100.5103.5136.2101.0105.2129.4
石家庄100.1104.5127.1100.3106.5126.8100.7111.6128.1
太原101.9108.6128.0100.7107.4127.7100.8108.6123.8
呼和浩特101.6122.0126.4101.5121.9126.4101.0123.0126.1
沈阳100.8110.2120.8100.9110.8122.7100.8110.6119.9
大连101.0109.7118.8100.5107.7118.8100.7111.3119.9
长春100.7110.9121.4101.4111.5119.6100.9110.1117.8
哈尔滨101.1109.6123.2101.0110.6122.5100.4112.3126.3
上海100.898.3138.4100.299.6138.1100.299.8139.5
南京100.199.3130.4100.2101.3142.6100.2106.7153.9
杭州101.0104.8144.3100.9104.0143.7100.4102.9137.0
宁波100.8104.6126.2100.8103.5125.7100.2103.6122.6
合肥101.1104.7160.2100.5104.2156.499.6103.0158.5
福州100.6100.4125.0100.3101.0125.5100.7102.5129.9
厦门101.5100.0142.2101.399.7137.2100.9100.7137.0
南昌100.7111.8137.1100.1110.1129.0100.6110.7127.7
济南99.9111.2134.699.3111.1132.8100.0112.0131.8
青岛99.8105.5131.4100.0108.8135.899.2105.5127.3
郑州100.0101.7132.7100.3101.0131.3100.2101.6130.2
武汉100.1108.3150.599.4106.1145.5100.2111.4146.5
长沙100.1106.1135.2100.3105.2135.0100.4107.9138.6
广州99.898.7147.699.4101.4148.499.5100.4147.3
深圳100.9102.3155.3100.9104.0149.8101.6106.6157.4
南宁101.6113.0128.6101.6111.5129.7100.7109.6136.7
海口101.0108.1115.3100.9108.7117.2100.1107.2114.6
重庆101.0109.7128.5100.6108.9130.2101.2109.5122.7
成都100.0106.1118.499.8106.9115.899.4109.1118.6
贵阳99.9111.6122.3100.1110.9121.2100.6113.4127.6
昆明100.7115.1127.299.8115.0126.599.7114.9130.0
西安100.7112.7125.8100.7112.9122.4101.5114.5119.2
兰州100.2110.0118.7100.2110.7117.0100.4111.5116.3
西宁101.9111.4113.8102.0112.0115.2101.8113.6115.5
银川100.2106.9108.2100.4106.7107.7100.6108.3108.0
乌鲁木齐101.1109.6123.8101.4109.7126.1102.2109.5122.3

表4:2019年4月70个大中城市二手住宅销售价格分类指数(二)

城市90m2及以下90-144m2144m2以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100上月=100上年同月=1002015年=100
唐山101.5111.3119.5101.7111.1116.8101.1109.4113.7
秦皇岛101.8112.6126.5101.4113.2124.9100.8109.3116.3
包头100.6107.8107.9100.8107.2111.8100.7108.1106.2
丹东100.7107.3109.4101.1108.9114.2100.6105.9105.6
锦州100.1108.5103.2100.3105.198.5101.3105.5100.4
吉林100.9110.6118.0100.7109.5117.3100.7110.5114.5
牡丹江100.4106.1111.8100.6108.0110.5100.3107.7102.2
无锡100.4105.1137.7100.5104.8135.799.7104.5135.3
扬州101.3111.0127.6100.0107.4121.8100.8109.8124.3
徐州99.9108.8123.6100.2107.8120.799.7110.4126.1
温州101.7106.0120.7100.7101.2113.6100.099.4108.1
金华100.6103.8122.6100.3103.3117.7100.3102.4117.3
蚌埠100.5108.1122.6100.4107.3119.8100.5108.9122.0
安庆99.3106.2120.599.1106.3121.399.0106.3119.7
泉州99.9101.0114.1100.2101.8115.299.8101.5114.2
九江100.4107.2126.0100.7107.5121.9100.7109.3120.7
赣州100.3110.3125.5100.5108.3126.1100.1108.7122.4
烟台100.7112.8127.3100.8112.4122.8101.2111.5117.9
济宁100.8115.7128.2101.2117.4131.7100.2117.4129.5
洛阳100.8110.7121.2100.9109.3117.3101.9111.0117.5
平顶山100.6110.2113.6100.6107.0117.4100.8108.6121.3
宜昌100.0108.4124.299.8109.0123.3100.1108.4118.9
襄阳100.6111.6119.2101.3112.5122.2100.8111.6113.6
岳阳99.9105.7115.3100.1105.3112.9100.1107.0116.3
常德99.8107.2115.499.9107.4115.299.8107.6115.5
惠州100.1106.9134.1100.3104.7130.5100.0106.2130.9
湛江100.3103.0112.999.2102.6112.4100.1105.0116.2
韶关100.8106.8114.6100.0109.4118.8100.3107.6115.0
桂林100.5108.1110.0100.5107.1106.8101.1108.4109.3
北海100.7109.4123.2100.5109.3123.3100.6112.2124.6
三亚101.2115.6125.1100.9114.3124.5100.3111.5119.5
泸州100.1109.0119.599.3108.6120.499.7104.5113.5
南充99.0105.8119.9100.6106.9120.199.1105.9118.7
遵义99.7109.3119.399.9108.3117.6100.0108.6115.6
大理100.7120.3124.1100.4117.2123.7101.3117.7120.3
 

 

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