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	<title>消费 &#8211; 数据兔pagetu.com</title>
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	<title>消费 &#8211; 数据兔pagetu.com</title>
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	<item>
		<title>2024年上半年全国各省市人均消费支出排名</title>
		<link>https://www.pagetu.com/2024/07/20/1902/</link>
		
		<dc:creator><![CDATA[pagetu]]></dc:creator>
		<pubDate>Sat, 20 Jul 2024 00:21:25 +0000</pubDate>
				<category><![CDATA[经济数据]]></category>
		<category><![CDATA[消费]]></category>
		<guid isPermaLink="false">https://www.pagetu.com/?p=1902</guid>

					<description><![CDATA[数据概要 统计时间：2024年上半年 说明： 2024年上半年全国各省市人均消费支出排名，可以看出上海市排名第 [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><span style="font-size: 1.7em; font-weight: bold;">数据概要</span></p>
<p>统计时间：2024年上半年</p>
<p>说明：</p>
<p data-track="46">2024年上半年全国各省市人均消费支出排名，可以看出上海市排名第一，居民人均消费支出为26341元；排名第二的是北京市，居民人均消费支出为24165元；排名第三的是浙江省，居民人均消费支出为22154元；而排名最后的是西藏自治区，居民人均消费支出为8718元。</p>
<p>数据指标：</p>
<p>序号<br />
地区<br />
居民人均消费支出(元)</p>
<p>数据示例：</p>

<table id="tablepress-259" class="tablepress tablepress-id-259">
<thead>
<tr class="row-1">
	<th class="column-1">序号</th><th class="column-2">地区</th><th class="column-3">居民人均消费支出(元)</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">1</td><td class="column-2">上海市</td><td class="column-3">26341</td>
</tr>
<tr class="row-3">
	<td class="column-1">2</td><td class="column-2">北京市</td><td class="column-3">24165</td>
</tr>
<tr class="row-4">
	<td class="column-1">3</td><td class="column-2">浙江省</td><td class="column-3">22154</td>
</tr>
<tr class="row-5">
	<td class="column-1">4</td><td class="column-2">天津市</td><td class="column-3">17957</td>
</tr>
<tr class="row-6">
	<td class="column-1">5</td><td class="column-2">江苏省</td><td class="column-3">17901</td>
</tr>
<tr class="row-7">
	<td class="column-1">6</td><td class="column-2">广东省</td><td class="column-3">17567</td>
</tr>
<tr class="row-8">
	<td class="column-1">7</td><td class="column-2">福建省</td><td class="column-3">16200</td>
</tr>
<tr class="row-9">
	<td class="column-1">8</td><td class="column-2">湖北省</td><td class="column-3">13667</td>
</tr>
<tr class="row-10">
	<td class="column-1">9</td><td class="column-2">内蒙古自治区</td><td class="column-3">13511</td>
</tr>
<tr class="row-11">
	<td class="column-1">10</td><td class="column-2">重庆市</td><td class="column-3">13446</td>
</tr>
<tr class="row-12">
	<td class="column-1">11</td><td class="column-2">海南省</td><td class="column-3">12908</td>
</tr>
<tr class="row-13">
	<td class="column-1">12</td><td class="column-2">辽宁省</td><td class="column-3">12700</td>
</tr>
<tr class="row-14">
	<td class="column-1">13</td><td class="column-2">湖南省</td><td class="column-3">12566</td>
</tr>
<tr class="row-15">
	<td class="column-1">14</td><td class="column-2">安徽省</td><td class="column-3">12276</td>
</tr>
<tr class="row-16">
	<td class="column-1">15</td><td class="column-2">山东省</td><td class="column-3">11791</td>
</tr>
<tr class="row-17">
	<td class="column-1">16</td><td class="column-2">陕西省</td><td class="column-3">11499</td>
</tr>
<tr class="row-18">
	<td class="column-1">17</td><td class="column-2">四川省</td><td class="column-3">11492</td>
</tr>
<tr class="row-19">
	<td class="column-1">18</td><td class="column-2">江西省</td><td class="column-3">11379</td>
</tr>
<tr class="row-20">
	<td class="column-1">19</td><td class="column-2">河北省</td><td class="column-3">11180</td>
</tr>
<tr class="row-21">
	<td class="column-1">20</td><td class="column-2">黑龙江省</td><td class="column-3">11123</td>
</tr>
<tr class="row-22">
	<td class="column-1">21</td><td class="column-2">新疆维吾尔自治区</td><td class="column-3">11092</td>
</tr>
<tr class="row-23">
	<td class="column-1">22</td><td class="column-2">宁夏回族自治区</td><td class="column-3">11089</td>
</tr>
<tr class="row-24">
	<td class="column-1">23</td><td class="column-2">河南省</td><td class="column-3">10835</td>
</tr>
<tr class="row-25">
	<td class="column-1">24</td><td class="column-2">云南省</td><td class="column-3">10802</td>
</tr>
<tr class="row-26">
	<td class="column-1">25</td><td class="column-2">吉林省</td><td class="column-3">10724</td>
</tr>
<tr class="row-27">
	<td class="column-1">26</td><td class="column-2">青海省</td><td class="column-3">10645</td>
</tr>
<tr class="row-28">
	<td class="column-1">27</td><td class="column-2">广西壮族自治区</td><td class="column-3">10314</td>
</tr>
<tr class="row-29">
	<td class="column-1">28</td><td class="column-2">山西省</td><td class="column-3">10185</td>
</tr>
<tr class="row-30">
	<td class="column-1">29</td><td class="column-2">贵州省</td><td class="column-3">10149</td>
</tr>
<tr class="row-31">
	<td class="column-1">30</td><td class="column-2">甘肃省</td><td class="column-3">9354</td>
</tr>
<tr class="row-32">
	<td class="column-1">31</td><td class="column-2">西藏自治区</td><td class="column-3">8718</td>
</tr>
</tbody>
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<h2>数据来源</h2>
<p>国家统计局</p>
<h2>更新时间</h2>
<p>年度更新</p>
<h2>数据下载</h2>
<p><a href="https://pagetu-1319353118.cos.ap-beijing.myqcloud.com/2024/07/2024年上半年全国各省市人均消费支出排名.xlsx">2024年上半年全国各省市人均消费支出排名.xlsx</a></p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>中国各行业电力消费总量数据（2003-2020）</title>
		<link>https://www.pagetu.com/2023/08/03/690/</link>
		
		<dc:creator><![CDATA[pagetu]]></dc:creator>
		<pubDate>Thu, 03 Aug 2023 12:07:19 +0000</pubDate>
				<category><![CDATA[能源]]></category>
		<category><![CDATA[消费]]></category>
		<category><![CDATA[电力]]></category>
		<guid isPermaLink="false">https://pagetu.com/?p=690</guid>

					<description><![CDATA[数据概要 统计时间：2003-2020 数据指标： 年 工业用电（亿千瓦时） 商业用电（亿千瓦时） 农业用电（ [&#8230;]]]></description>
										<content:encoded><![CDATA[<h2>数据概要</h2>
<p>统计时间：2003-2020</p>
<p>数据指标：</p>
<p>年<br />
工业用电（亿千瓦时）<br />
商业用电（亿千瓦时）<br />
农业用电（亿千瓦时）<br />
居民用电（亿千瓦时）</p>
<p>数据示例：</p>

<table id="tablepress-52" class="tablepress tablepress-id-52">
<thead>
<tr class="row-1">
	<th class="column-1">年</th><th class="column-2">工业用电（亿千瓦时）</th><th class="column-3">商业用电（亿千瓦时）</th><th class="column-4">农业用电（亿千瓦时）</th><th class="column-5">居民用电（亿千瓦时）</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">2003</td><td class="column-2">14169.7</td><td class="column-3">2110.7</td><td class="column-4">693.2</td><td class="column-5">2058</td>
</tr>
<tr class="row-3">
	<td class="column-1">2004</td><td class="column-2">16424.3</td><td class="column-3">2393.7</td><td class="column-4">768.9</td><td class="column-5">2384.5</td>
</tr>
<tr class="row-4">
	<td class="column-1">2005</td><td class="column-2">18521.7</td><td class="column-3">2757.4</td><td class="column-4">776.3</td><td class="column-5">2884.8</td>
</tr>
<tr class="row-5">
	<td class="column-1">2006</td><td class="column-2">21267.7</td><td class="column-3">3141.6</td><td class="column-4">827</td><td class="column-5">3351.6</td>
</tr>
<tr class="row-6">
	<td class="column-1">2007</td><td class="column-2">24290.8</td><td class="column-3">3479.3</td><td class="column-4">879</td><td class="column-5">4062.7</td>
</tr>
<tr class="row-7">
	<td class="column-1">2008</td><td class="column-2">25388.6</td><td class="column-3">3869.5</td><td class="column-4">887.1</td><td class="column-5">4396.1</td>
</tr>
<tr class="row-8">
	<td class="column-1">2009</td><td class="column-2">26854.5</td><td class="column-3">4365.6</td><td class="column-4">939.9</td><td class="column-5">4872.2</td>
</tr>
<tr class="row-9">
	<td class="column-1">2010</td><td class="column-2">30871.8</td><td class="column-3">4961.5</td><td class="column-4">976.5</td><td class="column-5">5124.6</td>
</tr>
<tr class="row-10">
	<td class="column-1">2011</td><td class="column-2">34691.6</td><td class="column-3">5676.4</td><td class="column-4">1012.9</td><td class="column-5">5620.1</td>
</tr>
<tr class="row-11">
	<td class="column-1">2012</td><td class="column-2">36232.2</td><td class="column-3">6298.9</td><td class="column-4">1012.6</td><td class="column-5">6219</td>
</tr>
<tr class="row-12">
	<td class="column-1">2013</td><td class="column-2">39236.9</td><td class="column-3">6950.5</td><td class="column-4">1026.9</td><td class="column-5">6989.2</td>
</tr>
<tr class="row-13">
	<td class="column-1">2014</td><td class="column-2">42248.7</td><td class="column-3">7391.5</td><td class="column-4">1013.4</td><td class="column-5">7176.1</td>
</tr>
<tr class="row-14">
	<td class="column-1">2015</td><td class="column-2">41550</td><td class="column-3">7864.9</td><td class="column-4">1039.8</td><td class="column-5">7565.2</td>
</tr>
<tr class="row-15">
	<td class="column-1">2016</td><td class="column-2">42996.9</td><td class="column-3">8695.7</td><td class="column-4">1091.9</td><td class="column-5">8420.6</td>
</tr>
<tr class="row-16">
	<td class="column-1">2017</td><td class="column-2">46052.8</td><td class="column-3">9614.4</td><td class="column-4">1175.1</td><td class="column-5">9071.6</td>
</tr>
<tr class="row-17">
	<td class="column-1">2018</td><td class="column-2">49094.9</td><td class="column-3">11113.2</td><td class="column-4">1242.5</td><td class="column-5">10057.6</td>
</tr>
<tr class="row-18">
	<td class="column-1">2019</td><td class="column-2">50698.3</td><td class="column-3">12194.4</td><td class="column-4">1336.2</td><td class="column-5">10637.2</td>
</tr>
<tr class="row-19">
	<td class="column-1">2020</td><td class="column-2">52353.4</td><td class="column-3">12448.1</td><td class="column-4">1422.1</td><td class="column-5">11396.5</td>
</tr>
</tbody>
</table>

<h2>数据来源</h2>
<p>国家统计局</p>
<h2>更新时间</h2>
<p>年度更新</p>
<h2>数据下载</h2>
<p><a href="https://pagetu-1319353118.cos.ap-beijing.myqcloud.com/2023/08/中国各行业电力消费总量数据（2003-2020）.xlsx">中国各行业电力消费总量数据（2003-2020）.xlsx</a></p>
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