工业品出厂价格指数
CPI和PPI的相关关系分析
CPI与PPI的相关关系分析一、我国居民消费价格指数（CPI）与工业品出厂价格指数（PPI）之间的关系分析1、什么是居民消费价格指数（CPI）和工业品出厂价格指数（PPI）？其编制意义是什么？居民消费价格指数（Consumer Price Index ,简称CPI）是度量一种代表性消费商品及服务项目价格水平随着时间而变动的相对数，反映居民家庭购买的消费品及服务价格水品的变动情况，它是宏观经济和决策、价格总水平监测和调控以及国民经济核算的重要指标，这一指标影响着政府制定货币、财政、消费、价格、工资、社会保障等政策，同时也直接影响居民生活水平评价。
工业品出厂价格指数（PPI）是反映全部工业产品出厂价格总水平的变动趋势和程度相对数，包括工业企业售给本企业以外所有单位的各种产品和直接售给居民用于生活消费的产品。
编制意义：居民消费价格指数采用定基指数，消除了以前居民消费价格指数中存在的翘首影响，从而使现性的价格指数具有可比性，也便于各方面用户的理解和使用，它更符合我国深化改革和完善社会主义市场机制的现实要求，对于我们把握市场价格规律，改善价格总水平调控，强化价格监督管理，具有重大意义。
2、我国居民消费价格指数（CPI）与工业品出厂价格指数（PPI）之间关系的定性分析。
PPI主要反映工业产品第一次进入流通环节的价格变化,是生产企业之间或生产企业与商业企业之间进行商品交易的价格变化;而CPI主要跟踪消费市场上进入最终消费者手中的消费品和服务的价格,因此,从生产——流通——消费的价值链来看,PPI是CPI的上游,并形成PPI上升推动CPI上升,PPI下降拉动CPI下降的传导关系。
通常称之为正向传导。
由于价格机制在信号传导上的时滞,PPI的变化要领先于CPI的变化。
PPI通过传导机制影响CPI的程度和时效还要受市场环境、定价机制等因素的制约。
一般来说,在卖方市场下,企业具有较强的定价权,成本上升将直接导致商品涨价,PPI上涨能够较充分地传导到CPI;在买方市场下,企业定价权较弱,这导致PPI上涨通常只能部分传导到CPI。
cpi和ppi
cpi和ppiCPI”是居民消费价格指数的英文简称，“PPI”则是工业生产者出厂价格指数的英文简称。
前者衡量的是与生活领域密切相关的商品和服务的价格走势，后者反映的是全部工业产品出厂价格的变化趋势；前者属于消费端，后者属于生产端。
一、居民消费价格指数——CPICPI的相关数据由统计局负责，并在每个月10号左右公布上一个月的数据。
01如何造出“CPI”CPI数据的统计、得出可以分为三步：第一步是确定一篮子商品和服务。
商品和服务在不在这个篮子里，这得由统计局研究确定，不能乱选。
一般选取的都是对居民生活影响比较大的、有代表性的商品和服务，比如猪肉、果蔬等。
目前，这个篮子里的商品和服务包含了8个大类、268个小类。
其中的8大类是食品烟酒、衣着、居住、生活用品及服务、交通通信、教育文化娱乐、医疗保健、其他用品及服务。
第二步是确定每一类商品和服务的权重。
进入篮子里的商品和服务并不是“平等”的，谁对居民生活的影响大，谁的地位就高，权重就大。
这就像高考科目的分值，语数外就是要比物理化学的高。
不过，“权重”的确定不是张口就来的。
它是根据各种商品和服务的开支在总开支中的占比来确定的。
并且，占比数据采用的是之前的调查资料。
比如2月份的总开支是100元，其中猪肉消费了10元，医疗保健消费了5元。
那么，猪肉的权重就是10%，医疗消费是5%，其它商品和服务的则是85%。
到了3月份，猪肉的价格上涨了10%。
那么根据之前2月份的权重算，它会让CPI上涨1个百分点（0.1*0.1=1%）。
除此之外，还要注意的一点是，因为商品和服务的价格是不断波动的，所以权重的大小也会随之而动，并不是一成不变的。
第三步是根据调查数据计算CPI的环比、同比情况，并公布相关数据。
环比是这个月的数据与上个月相比的值，同比是与上个年度同一个月相比的值。
比如今年1月份的CPI是12%，2月份的是13%，那么2月份的环比=0.13/0.12-1=8.3%，比上个月增长了8.3个百分点。
出厂价格指数计算公式
出厂价格指数计算公式
出厂价格指数计算公式（PPI）是一种了解国家生产水平变化的重要指标。
它
是在一定时期内，收集和研究出厂、贩卖等售出厂价格指数所反映的价格变动情况，对此作出把握，反映产品价格变动趋势，从而掌握整个国民经济健康发展的一项宏观指标。
PPI的计算公式是：PPI=CPI P月/CPI0月×100%，其中，CPI表示指数，P
月表示某个月的指数，CPI0月表示上一个月的指数。
PPI计算出来的结果是一个百分比，介于50%到200%之间，如果计算出来的PPI小于50%，就表明产品价格指数
同比下降，反之则会上升。
因为出厂价格指数是描述产品价格变化趋势的指标，因而也就具备体现国家宏
观经济运行状况的功能。
如果在一定的时间周期内，指数变动幅度较小，则表明产品价格不会发生太大的变化；而如果在一定的时间周期内，出厂价格指数变动范围较大，则可说明国民经济存在较大波动，要求政府及相关部门加以平稳。
分析出厂价格指数就可以大致判断国家宏观经济发展状况，如果出厂价格指数
在相对较低的水平，那么经济可能发生萧条，政府则要采取措施提高出厂价格指数的水平，利用策略改善宏观经济的发展状况，进而带动国民经济健康发展，建立团结一致的社会环境。
另外，互联网给PPI做出了重要贡献，互联网上可以方便地获取出厂价格指数数据和统计，使分析出厂价格指数变动趋势变得更加容易。
总之，出厂价格指数计算公式（PPI）具有重要意义，它不仅可以体现国家宏
观经济发展状况，而且还可以衡量产品价格变动幅度，提供政府有效的经济策略。
由于互联网的发展，使得收集、研究出厂价格指数更加方便。
PPI
PPI生产者物价指数（Producer Price Index, PPI）亦称工业品出厂价格指数，是一个用来衡量制造商出厂价的平均变化的指数，它是统计部门收集和整理的若干个物价指数中的一个，市场敏感度：非常高。
如果生产物价指数比预期数值高时，表明有通货膨胀的风险。
如果生产物价指数比预期数值低时，则表明有通货紧缩的风险。
生产者物价指数主要的目的在衡量各种商品在不同的生产阶段的价格变化情形。
一般而言，商品的生产分为三个阶段：一、原始阶段：商品尚未做任何的加工；二、中间阶段：商品尚需作进一步的加工；三、完成阶段：商品至此不再做任何加工手续。
PPI是衡量工业企业产品出厂价格变动趋势和变动程度的指数，是反映某一时期生产领域价格变动情况的重要经济指标，也是制定有关经济政策和国民经济核算的重要依据。
目前，我国PPI的调查产品有4000多种（含规格品9500多种），覆盖全部39个工业行业大类，涉及调查种类186个。
与PPI对应，CPI即消费者物价指数(Consumer Price Index)是反映与居民生活有关的产品及劳务价格统计出来的物价变动指标，通常作为观察通货膨胀水平的重要指标。
根据价格传导规律，PPI对CPI有一定的影响。
PPI反映生产环节价格水平，CPI反映消费环节的价格水平。
整体价格水平的波动一般首先出现在生产领域，然后通过产业链向下游产业扩散，最后波及消费品。
产业链可以分为两条：一是以工业品为原材料的生产，存在原材料→生产资料→生活资料的传导。
另一条是以农产品为原料的生产，存在农业生产资料→农产品→食品的传导。
在中国，就以上两个传导路径来看，目前第二条，即农产品向食品的传导较为充分，2006年以来粮价上涨是拉动CPI上涨的主要因素。
但第一条，即工业品向CPI 的传导基本是失效的。
一般而言，当生产者物价指数增幅很大而且持续加速上升时，该国央行相应的反应是采取加息对策阻止通货膨胀快速上涨，则该国货币升值的可能性增大；反之亦然。
工业品出厂价格指数
工业品出厂价格指数工业品出厂价格指数（Producer Price Index，PPI）是一个重要的经济指标，用于衡量工业品的价格水平变化。
它反映了工业品的整体供求关系和生产成本的变化情况，对经济的发展和宏观调控具有重要的参考价值。
工业品出厂价格指数是一个综合性指数，它综合了各个行业的价格变化，以及各种工业品在总产出中的比重。
工业品的价格由多个因素影响，包括原材料价格、能源价格、人工成本、税费等等。
通过对这些因素的综合分析，可以得出工业品出厂价格指数的变动情况。
工业品出厂价格指数的计算方法较为复杂，一般采用加权平均法。
首先确定一个基期，以基期的价格作为参照，将其设为100。
然后，根据各个工业品在总产出中的比重，计算出其相应的权重。
最后，根据各个工业品的价格变化情况，计算出加权平均数，并以基期的价格为参照，得出工业品出厂价格指数。
工业品出厂价格指数的变动反映了工业品价格的整体变化趋势。
如果工业品出厂价格指数上升，说明工业品价格整体上涨，反之下降则说明价格整体下跌。
这对于政府、企业和投资者都具有重要的参考意义。
政府可以通过监测工业品出厂价格指数的变化，及时采取调控措施，防止通货膨胀或通缩。
企业可以根据工业品出厂价格指数的变动情况，调整自己的生产经营策略，以应对价格波动的风险。
投资者可以根据工业品出厂价格指数的变化，判断经济的发展趋势，从而做出相应的投资决策。
工业品出厂价格指数的发布对于市场的透明度和公正性也具有重要意义。
市场参与者可以通过关注工业品出厂价格指数的变动情况，及时了解市场的供求状况和价格变化趋势，从而更好地进行经营和投资活动。
此外，工业品出厂价格指数还可以作为政府宏观调控的重要工具，可以结合其他经济指标，全面评估经济的发展状况，为制定经济政策提供依据。
总之，工业品出厂价格指数作为一个综合性经济指标，对于经济的发展和宏观调控具有重要的参考价值。
它可以反映工业品的整体价格水平变化，从而帮助政府、企业和投资者做出相应的决策。
中国重要统计指标解读与应用4——居民消费价格指数和工业生产者出厂价格指数
（二）价格调查点的抽选
1、抽选调查市（县）
（1）按照大中小兼顾以及地区分布合理原 则，采用分层随机抽样的方法确定。
第一步，按照城镇规模将全国所有省（区、 市）的城镇划分为三层：大中城市（地级和地级 以上的城市）、县级市、县城（镇）；
第二步，按各层人口占全省（区、市）人 口的比例来分配每层的样本量；
趋势。
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2、价格调查方法 通过手持数据采集器，采用定人、定点、 定时的方法直接调查。 在保证价格准确的前提下, 经国家统计局 审定，各地可利用被调查单位的电子数据进行辅 助采价，也可从互联网采集特定商品和服务价格。
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（五）权数的确定 1、市（县）权数资料来源与计算方法
市权数主要根据2015年城市居民家庭消费 支出调查资料、人口资料整理计算；
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（一）基本概念和基本编制方法
1、基本概念
工业生产者出厂价格指数是工业生产者价 格指数的重要组成部分。它是一定时期内工业 企业生产的工业产品第一次出售时的价格变动 的相对数。它反映的是工业行业产品价格水平 的变动趋势和变动幅度。
它是度量通货膨胀程度的重要指标之一， 是分析宏观经济形势、制定宏观经济政策的重 要依据，也是计算不变价工业增加，以各市（县）年人均收入为标志 从高到低排队，然后将各市（县）的人口数累 计起来，依据所需调查市（县）的数量进行等 距抽样。
（2）为增强各地区价格指数的代表性，部 分省（区）需要增加调查市、县时，经报国家 统计局批准同意，可参照抽样调查原则，结合 当地实际情况，适当增选一定数量的中、小城 市和县进行调查。
居民消费价格调查商品目录由国家统一制 定，五年变动一次。参考依据是住户调查中的消 费支出资料。
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（2）价格调查
综合商品价格指数解析
世界商品价格指数与经济行情
能较明显地反映经济周期的变化 发达国家和发展中国家的贸易条件 变化
6.6
股票价格
一、股票及股票价格
股票：股东向股份公司投资入股并 借以取得收入的凭证。
*是一种物权凭证，也是一种有价证
券 股票价格？ 股票价格=预期股息/利息率
二、综合股票价格指数
道· 琼斯股票平均价格 标准· 普尔公司的股票价格指数 纽约股票交易所普通股票价格指数 《金融时报》股票价格指数 东京日经股票价格指数 法兰克福股票价格指数 上证股价指数 深圳股价指数恒生指数
可衡量通胀率的价格指数：
CPI PPI GDP的缩减指数 为何各国通常以CPI的变动幅度来 衡量通胀率？
计算基础比CPI更 广泛，涉及全部 CPI与GDP的平减指数 商品和服务，除 消费外，还包括 GDP平减指数是另一种物价水平指数 生产资料和资本、 两者区别： 进出口商品和劳 a.商品组合的内容不同 务等
b.商品组合的可调整性不同
可每年调整
通貨膨脹率(%/年)
两指标的比较
通胀率(%/年)
图a：两个指标反映的通 胀率具有相似的波动趋 势，但 CPI 衡量的通胀 率较高。 图b：两指标逐渐远离的趋 势
GDP平减指数
(a)两种指标表示的通胀率 物价水平 (1972=100)
年
GDP平减指数
年 (b)两种指标
三、影响股票价格的其他因素
1.企业未来的利润水平 2.利率 3.国家重大经济政策 4.国内外重大事件 5.平行市场的发展 6.投机及心理因素
四、股票价格与经济行情
经济行情变化的“晴雨表” 长期而言与经济周期变化基本一致
*客观认识和利用股票价格指标
6.7
工业统计主要指标解释
工业统计主要指标解释工业统计是对工业生产情况进行统计和分析的一种方法，通过对主要指标的统计和分析，可以了解工业生产的总体情况、结构变化、发展趋势等，为政府决策和企业发展提供依据。
下面是对工业统计主要指标的解释：1.工业增加值：指一定时期内工业部门生产活动中所增加的价值。
这是衡量工业生产总量的指标，也是评价一个国家或地区工业经济发展水平的重要指标。
工业增加值的增长反映了工业生产活动的扩张和发展。
2.工业产值：指其中一时期内工业部门生产的全部产品的实际销售收入。
工业产值的增长反映了工业产品的销售规模和市场需求的变化，是工业经济发展的重要表现。
3.工业用电量：指工业生产过程中所使用的电力总量，是反映工业生产活动规模和能源消耗的指标。
工业用电量的变化可以反映工业生产的波动和发展情况。
4.工业投资：指投资者为在工业部门从事生产经营活动而进行的资本投入。
工业投资的增长反映了工业部门投资者对未来市场需求和经济发展的信心，对工业经济发展具有重要意义。
5.工业利润：指工业企业在一定时期内生产经营活动所获得的利润。
工业利润的变化可以反映工业企业经营状况和盈利能力，是评价工业企业经营情况的重要指标。
6.工业产能利用率：指工业企业在一定时期内所实际利用的产能与理论产能的比例。
工业产能利用率的增长可以反映工业企业生产活动的充分利用程度和经营效率。
7.工业就业人数：指从事工业生产活动的人员总数。
工业就业人数的增长反映了工业经济对人力资源的需求和就业状况。
8.工业品出厂价格指数：指工业品在出厂环节的价格水平变动情况。
工业品出厂价格指数的变化可以反映工业生产成本和市场需求的变化。
9.工业品消费价格指数：指工业品在消费环节的价格水平变动情况。
工业品消费价格指数的变化可以反映工业品的价格上涨或下跌对居民消费的影响。
总之，工业统计的主要指标涵盖了工业生产、投资、利润、用电量、人员就业、出厂价格和消费价格等多个方面，通过对这些指标的统计和分析，可以全面了解工业经济的发展状态和趋势，为政府决策和企业发展提供依据。
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煤炭开采和洗选业工业品出厂价格指数（上年=100）_当月石油和天然气开采业工业品出厂价格指数（上年=100）_当月黑色金属矿采选业工业品出厂价格指数（上年=100）_当月有色金属矿采选业工业品出厂价格指数（上年=100）_当月非金属矿采选业工业品出厂价格指数（上年=100）_当月其他采矿业工业品出厂价格指数（上年=100）_当月农副食品加工业工业品出厂价格指数（上年=100）_当月(-)(-)(-)(-)(-)(-)(-) Oct-96114.2114.11101.2382.87---Nov-96113.68114.3499.5691.88---Dec-96112.94112.7992.1277.85---Jan-97109.41113.24100.1285.48---Feb-97111.93113.03100.6488.25---Mar-97110.88112.2897.3386.89---Apr-97114.02103.71106.4289.98---May-97111.42105.18103.9692.89---Jun-97106.76106.91102.2997.23---Jul-97106.56105.8999.38102.49---Aug-97106.9104.72101.3398.74---Sep-97105.83104.04101.15101.1---Oct-97104.03104.4299.59101.23---Nov-97103.51104.44100.39101.29---Dec-97102.91103.3799.27105.23---Jan-98102.33104.1397.3696.62---Feb-98100.42101.8898.7998.99---Mar-9899.06100.498.4294.58---Apr-9899.25108.4598.9592.28---May-9894.9599.9695.2691.07---Jun-9893.9100.2399.8290.57---Jul-9892.7699.9599.484.79---Aug-9893.679999.3287.77---Sep-9895.0799.1199.7386.23---Oct-9891.9496.77100.0682.79---Nov-9892.399.5297.1485.58---Dec-989496.3298.6586.09---Jan-9994.4198.3797.2188.3---Feb-9993.3697.8193.4487.14---Mar-9991.5798.1396.485.86---Apr-9994.8596.8893.2591.8---May-9995.51108.4997.988.94---Jun-9991.54110.24103.3787.27---Jul-9993.45111.6798.6390.69---Aug-9994.39121.17102.9993.55---Sep-9993.44122.64101.5497.92---Oct-9994.88135.7104.5996.78---Nov-9994.36137.12100.14101.11---Dec-9994.18147.5599.699.96---Jan-0095.58151.32100.0599.69---Feb-0095.67165.26100.53102---Mar-0097.75172.8190.96108.97---Apr-0095.92188.6388.32109.38---May-0099.1594.07104.31102.3---Jun-0095.54152.8277.33106.92---Jul-0097.03170.0578.4109.69---Aug-0098.55159.6696.7499.44---Sep-0098.71153.96103.5899.97---Oct-0099.54155.14101.03101.92---Nov-00100.8153.2100.4106.3---Dec-00100.7143.4100.1102.3---Jan-01102.02121.31100.33101.65---Feb-01103.1113.4102.7101.7---Mar-01103.3103.7101.698.9---Apr-01104.897.6102.398.4---May-01104.5105.1101.399---Jun-01106104.5101.899.4---Jul-01106.396.8102.198.6---Aug-0110788.1102.2100.1---Sep-01110.386.4102.499.2---Oct-01109.8280.32101.698.07---Nov-01111.673.299.698.6---Dec-01113.473.8101.5100.2---Jan-02118.671.1103.897.7---Feb-02117.477.5102.696.2---Mar-02121.277.5102.297.3---Apr-02117.385.8101.298.499.7-97.6 May-02114.592.4101.199.5100-97.5 Jun-02113.693.599.9101.2100.5-98.1 Jul-02112.392100.4102.3100.3-98.1 Aug-02111.497.4102.3102.5100.2-98.7 Sep-02109.1100.199.6103.999.8-99.5 Oct-02108.4105.8100.3104.699.8-98.9 Nov-02107.9116.499.5103.599.5-99 Dec-02107.1122.998.7103.699.3-100 Jan-03103.8131.799.2104.599.7-100.5 Feb-03102.5144.2100.6105.699.60100.7 Mar-03102.8149.9100.4107.31000101.2 Apr-03103.2135.6103.1106.8100.60102May-03103.4120.4102.3108.7100.5-101.7 Jun-03103.2110.1103.6107.4100.20101.8 Jul-03103.1109.2105.8107.3100.20101.7 Aug-03103.8107.8110.9107.699.90101.8 Sep-03103.6107.3113.8107.3100.10101.4 Oct-03105103.1118.1108100.20104 Nov-03105.1102.6130.1108.2100.50109.1 Dec-03106.6107.4137.3108.1101.20110.9 Jan-04107.9106.5131.5109.2101.20111.2 Feb-04108.7100132.7112.2102.40111.2 Mar-04110.497.8150.8116.61030114.4 Apr-04113.1103.8174.5118.6103.70116.8 May-04115.4109.2156119.7104.90117.1 Jun-04117.1120.2141.8118.9105.1-116.3 Jul-04118.4124.1147.3119.2106.2-116.5 Aug-04118.6125.6149.2119107.1-116.3 Sep-04120.5130.6145.7121107.7-116.8 Oct-04122.3139.8145.9118.6108.9-114.6 Nov-04124.2143.5141119.2109.6-110.2 Dec-04124.8134.2127118.8110.2-106.5 Jan-05125.8118.4119.1116.5110.4-105.1 Feb-05126.3121.5120.5115.7111.2-105.2 Mar-05126.3130.6115.4114.4111.3-103.3 Apr-05126.2135.5114.2116.6110.9-101.3 May-05125.9141.7115124111.4-100.3 Jun-05125.9131.4118.2124.5110.8-99.8 Jul-05124.3130.3108.4123.5110.4-99.8 Aug-05123.6134.7110.2121109.2-99.3 Sep-05121.7131.9107.4118.7108.6-99Oct-05119.2132108119.3107.2-99.1 Nov-05117.2123.3106.3120.2105.9-99.8 Dec-05116.4127.2105.2120.8105.1-101.1 Jan-06112.67139.76100.44114.41103.5210098.12 Feb-06109.25142.1197.9115.85103.39101.7797.25 Mar-06108.08132.7897.07117.12103.1410097.81 Apr-06105.36118.9193.34117.32101.2410097.67 May-06104.42120.2693.8123.74101.2710097.5 Jun-06103.39127.8395.66126.43102.910098.55 Jul-06102.81126.0796.38129.81103.2310099.38 Aug-06102.83125.4897.62129.16102.45100100.17 Sep-06102.49121.9396.76127.56102.78100101.26 Oct-06103.08109.1997.07126.9102.56100101.9 Nov-06102.5298.998.1125.35102.08100104.14 Dec-06102.73100.0798.64127.26101.64100106.8 Jan-07102.04104.62100.31122.65103.34-108.51 Feb-07102.3692.67100.81121.8103.43100109.03 Mar-07101.9990.76103.45121.87103.3100109.6Apr-07102.3695.93105.73118.55103.43100110.02 May-07102.5996.3106.16110.65104.7100112.05 Jun-07103.0493.68107.83108104.05100112.75 Jul-07103.6495.12109.04107.63102.55100114.86 Aug-07103.897.95111.87106.18102.11100116.38 Sep-07104.5196.33116.87107.79101.94100115.71 Oct-07105.23104.19116.56108.59102.31100116.33 Nov-07106.24122.16119.9109.24102.93100117.73 Dec-07107.85134.61124.64108.43103.58-117.03 Jan-08114.34129.25127.67110.41105.61100119.26 Feb-08118.49136.67130.9109.84106.7101.72120.19 Mar-08125.98137.1136.98111.29108.45101.72122.85 Apr-08120.93137.11137.07111.45110.32100121.45 May-08124.09130.23141.12109.66111.08100119.51 Jun-08127.53135.1144.36108.85111.78100116.94 Jul-08132.55140.24152.44109.69114.75100116.08 Aug-08138.98137.4149.85106.58116.53-112.69 Sep-08141.14125.11139.24105116.88-111.17 Oct-08141.13111.16120.17101.32114.88-108.44 Nov-08132.6585.88102.6388.41109.47-103.58 Dec-08126.9260.394.1984.65105.28-100.5 Jan-09122.751.583.783.1102.310098.4 Feb-09118.845.281.782.6101.5101.797.3 Mar-09113.945.87579.2101.4101.794.2 Apr-09108.747.869.280.999.6103.593.5 May-09105.550.765.481.599.2103.593.4 Jun-09100.251.962.883.596.8103.592.7 Jul-099457.164.183.996103.592.5 Aug-0988.655.667.4889410094.2 Sep-0988.269.867.289.293.710095.1 Oct-0989.176.674.793.493.710096.6 Nov-0994.6596.6786.8105.6696.34100100.44 Dec-0998.17143.8793.7115.999.46100104.05 Jan-10104.99167.99104.28123.67102.54103.45103.5 Feb-10106.91181.76105.1123.1102.3100102.86 Mar-10105.47163.26110.18123.8103.26100103.51 Apr-10108.43159.39123.61123.44104.07100103.66 May-10108.69158.72128.88122.75104.93100104.44食品制造业工业品出厂价格指数（上年=100）_当月饮料制造业工业品出厂价格指数（上年=100）_当月烟草制品业工业品出厂价格指数（上年=100）_当月纺织业工业品出厂价格指数（上年=100）_当月纺织服装、鞋、帽制造业工业品出厂价格指数（上年=100）_当月皮革、毛皮、羽毛(绒)及其制品业工业品出厂价格指数（上年=100）_当月木材加工及竹、藤、棕、草制品业工业品出厂价格指数（上年=100）_当月家具制造业工业品出厂价格指数（上年=100）_当月造纸及纸制品业工业品出厂价格指数（上年=100）_当月(-)(-)(-)(-)(-)(-)(-)(-)(-) 101.9193.3111.0294.52-111.0499.27104.198.11 102.0693.56107.1193.55-107.1596.7103.8994.71 100.5696.34107.1597.01-102.4184.93108.18100.6 100.3894.41107.6896.88-105.1797.62106.2696.22 102.4398.44105.196.37-97.0695.24102.6692.61 100.994.55106.7799.13-102.3299.6104.9292.81 99.8797.8104.1101.68-102.7499.27100.4394.68 100.62103.21103.91100.43-97.4104.1499.3292.69 99.82104.59102.199.41-110.391.97101.5796.45 96.57102.22100.8499.04-101.9995.0999.1598.5 96.56101.66101.64100.72-101.2398.2998.695.37 96.11102.5196.8798.67-100.4996.35101.5789.42 95.92100.8797.8100.24-101.8391.21104.8491.6 95.29101.1699.79101.35-100.491.5496.6596.5695.87101.2497.5699.43-97.3992.7297.5591.996.6399.35102.76102.58-97.388.4299.6495.04 96.2599.0498.1599.78-93.4493.1499.6691.39 94.5699.799.61100.33-99.3798.72103.0888.42 94.17101.4899.6798.13-96.0893.22102.3394.21 94.5798.9100.8299.73-100.892.48101.0797.2994.31102.64101.3194.89-97.4191.86100.7597.3195.88100.1299.8393.33-100.7784.199.5993.6596.1597.83103.7791.07-99.7785.5899.0492.31 106.9798.38103.5895.26-99.5283.76100.0790.9796.9297.14101.493.82-99.1491.3998.9393.797.7996.53100.7392.28-95.9789.1897.5193.498.7296.3499.494.74-88.0489.9299.0693.1197.1597.95102.290.83-91.390.9895.6793.2498.0797.8106.2392.07-90.4392.8997.2488.05 98.5197.91107.691.34-90.2398.6297.1590.75 97.796.52105.8492.66-91.0998.1193.5393.64 97.1797.75105.294.55-87.8998.9897.9993.495.3197.38103.2594.13-92.72102.4297.9993.83 94.1597.25105.0296.98-96.74101.1698.4397.8 93.8298.17102.9797.08-96.499.3993.3393.99 93.2397.63102.8996.62-91.38105.0795.4193.12 92.1109.31104.4196.24-94.3796.2896.7696.68 91.7496.5103.3195.67-100.695.8897.7295.4589.0697.96104.0797.64-99.72101.3395.4598.6990.07101.39102.1598.85-94.9999.8396.1395.59 90.4198.76102.07100.26-100.54100.8698.0798.61 92.0998.33101.19100.84-99.4396.5498.45100.51 92.4897.68103.01102.04-97.23101.1897.6599.88 98.1699.57100.78100.69-101.71100.44100.67101.4391.9298.58103.21103.74-97.9695.1599.2100.8992.6397.99103.8106.73-104.4392.73102.7399.1 95.8297.77101.31105.22-101.8397.9798.84100.12 95.9598.85101.42105-99.9998.7398.22101.0195.3899.3100.61105.36-102.898.9899.44101.0996.698.7101.5104.3-103.5100.199.9100.798.399.6100.1103.6-102.499.6100.5100.899.9899.4399.34102.7-104.5299.4299.97100.05 99.999.399.6102-10399.8101.4100.5 100.59999.5101.6-99.599.199.4100.9 101.199.8100.6100.9-100.899.2101.5100.5 101.899.5100.1100.1-100.599.1100.9100.4 100.999.4100.8100.2-10199.399.2100 100.499.4102.197.9-101.398.898.999.5 100.399.7102.997.4-101.297.89999.1 10099.1105.495.9-100.998.299.599.5 100.6198.97105.0395.38-99.9897.79101.0499.1 100.798.9105.394.6-98.5989898.5 99.199105.894.2-97.998.198.198.4 98.298.8105.493.3-99.997.799.598.1 9899.3104.692.9-9997.198.397.8 97.599.4107.393-98.996.698.697.6 99.399.1103.49498.99996.598.597.2 99.399.1104.494.199.299.296.598.797.4 99.598.8104.194.699.199.496.398.597.4 99.499.1103.49598.999.396.59997.2 99.199102.595.699.598.696.598.997.5 9999.1102.896.299.498.896.999.297.598.999.4102.196.799.299.397.499.497.899.199.3101.597.19999.597.398.898.4 9999.6101.797.699.499.897.198.698 99.299101.39999.999.89798.998.2 99.599.1100.8100.499.799.597.699.598.2 99.799.1100.6101.999.899.397.699.798.7 99.699.4100.4101.9100.398.598.999.798.499.799.3100.2101.899.799.398.699.798.8 99.599100101.399.810099.899.598.6 99.499.3100.5101.399.6100.299.59998.5 99.298.9100.5100.999.8100.499.899.198.7 99.399.4100.5101.199.899.810099.598.2 99.399.1100.7102.799.699.7100.199.899.2 100.699.5100.8104.510099.9100.1100.299.4 101.199.3100.7105.1100.2100100.7100.399.2 101.499.8100.5105.6100.599.710010099.6 101.8100100.9106.2101.2100.2101.1100.3100.3 102.2100.4101105.9100.8100.2102.1101.1100.9 102.9100.5101.5105.5101100.4101.8101.7100.8 103.1100.8101.4104.9100.999.9102.1102.1101.6 103.3101.2101.2105.1101100.5102.4102.5101.7 103.4101.2100.9104.6100.9100.5102.5101.9101.5 103.6100.7101.5104.5100.3101.5102.7102.2101.7 104100.7101104.1100.6102103.1102.6101.9 103.8100.7100.9103100.7102102.8102.6102.1 103100100.9101.1100.6101.6103.2102.7101.6 102.6100.9101100.7100.1101.8103102.6101.6 102.4100.5101.5100.199.7102.2102.5102.8101.6 102.4100.5101.399.899.8103101.8102.7101.6 102.1100.5101.199.599.8102.2101.3102.6101.4 101.5100.4100.799.999.8102.1101.6103.2101.5 101.3100.6100.999.8100.2102.8102.1103.5101.6 101.3100.4101.299.899.7102.6101.5103.4101.1 101.4100.3101.1100.699.5102.3101.7102.9101.3 101.5100.9100.8100.399.8102.5101.7103.2101.2 101100.8100.1101.199.7103.7101.7102.5101.1 101.1100.7100.8101.3100.3102.8101.4102.4101.4 100.8100.7100.910299.7102.2101.7101.7101.1 100.8100.5100.1102.2100101.5101.8101.7101.4 101.05100.97100.17102.82100.98101.31101.95100.61101.09 101.12100.6499.96102.98101.47101.2102.36100.18100.98 100.94100.63100102.75101.31101.06102.0199.72100.73 100.92100.3999.76102.51101.23100.72102.0499.99101.11 101.3100.3100.04102.66101.03101.19102.0999.73100.44 100.81100.4699.91101.9101.18101.14102.07100.45100.64 101.15100.37100.01101.71100.73101101.8699.9100.91 101.11100.56101.41101.82100.56100.78102.46100.46100.45 100.9100.6101.05101.9101.12101.14102.38100.21100.78 101.29100.51101.02101.52100.73101.38102.82100.81100.74 101.27100.35101101.45100.48101.79102.5100.93100.2 101.52100.64101.33101.29100.36101.59102.73100.47100.19 101.8101.12100.63100.87100.87102103.71101101.05 101.58101.01100.54100.86100.56102.32103.68101.2100.26 101.84101.27100.22100.47100.44102.33103.9101.23101.04102101.21100.89100.92101.05101.54103.97101.37100.78 101.92101.51100.62100.82101.26101.92104.07101.13100.73 102.26100.92100.19100.64100.66101.66103.84101.25100.37 102.06101.03100.37100.7100.78102.36103.58101.3100.64 102.61100.9999.99100.77101.02102.45103.25101.73100.79 103.39100.9599.99101100.29103.1103.61101.63101.1 103.43101.24100.33100.75100.37103.78103.16101.6101.3 103.96101.22100.29100.84100.09103.05103.22101.88101.65 104.63101.52100.21101.34101.17102.64103.45102.96102.39 106.31103100.42101.86101.76103.38103.82102.91103.4 107.4102.93100.35101.41101.85102.22103.3102.87103.83 107.63103.22100.61102.12101.67102.4104.46103.09104.43 108.04104.05100.55102.07102.37102.67104.52103.36106.07 108.57104.08100.37101.81102.36103.08104.31103.64106.61 109.06103.97100.57101.92102.58102.5104.33104.27107.72 109.21103.93100.4101.92102.68101.85104.77103.64107.76 108.87104.16100.67101.68102.46102.34104.57103.67108.1 109.01104.32100.62101.59101.55102.07104.7103.39107.68 108.25104.06100.36101.53102.48101.93104.28103.25106.87 107.39103.64100.82100.23102.14101.65103.41103.38104.68 106.18103.04100.4699.42101.79101.13102.8102.61102.08 103.9101.4100.398.7100.5100.5100.4101.498.8 102.8101.2100.497.699.7100.5100.6101.697.6 102100.9100.497.399.699.299.4100.696 101.2100.4100.897.199.898.599.1100.194.9 100.9100.2100.297.110098.39999.693.7 100.4100.1100.797.110098.298.699.692.2 100100.5100.597.299.797.498.399.891.6 99.8100.3100.797.2100.297.797.699.992.1 99.4100.4100.297.51009897.910092.3 100100.5100.898.399.397.998.110092.9 101.18100.59100.43101.1699.7697.6198.2199.5694.42 101.95101.02100.49102.96100.4798.2499.02100.596.64 101.91101.98100.42103.91101.0199.53100.1299.7799 101.95102.02100.55105.54101.21100.29100.2899.85100.14 102.24102.55100.21105.32101.74100.78100.59101.1101.84 102.59102.98100.14106.61101.62101.07101.24101.41103.79 103.01103.45100.53107.45101.8101.61101.66101.37104.95印刷业和记录媒介的复制工业品出厂价格指数（上年=100）_当月文教体育用品制造业工业品出厂价格指数（上年=100）_当月石油加工、炼焦及核燃料加工业工业品出厂价格指数（上年=100）_当月化学原料及化学制品制造业工业品出厂价格指数（上年=100）_当月医药制造业工业品出厂价格指数（上年=100）_当月化学纤维制造业工业品出厂价格指数（上年=100）_当月橡胶制品业工业品出厂价格指数（上年=100）_当月塑料制品业工业品出厂价格指数（上年=100）_当月非金属矿物制品业工业品出厂价格指数（上年=100）_当月(-)(-)(-)(-)(-)(-)(-)(-)(-) 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97.8102.8114.4111.997.3108.7101.2107.5103.4 98103.8119.1115.598.4110.2101.3109.5103.197.8104.6119.8116.598.7110.6102.3111.3102.298.3103.8121.3116.999.1110.3102.6110.2100.897.7102.1116.9115.999.5110.1102.5109.9100.498.7102.7113.611599.3107.9102.5108.9100.198.8101.7114113.3100.2107.2104.3107.8100.199.1101.7115.5114.3100.7108.2105.2108.399.8 99.6102.3117114.4101.1109104.7108.4100 99.3101116.7113.2101.9107.2105108.3100.8 100.1102.5114.2110.3102.6105.4105106.8101.1 100.5102.6117.9108.8102.6105.5105.2106.5100.9 100.4102.5124.5106.2102.3104.7104.6105101 100102.7122.5104.1102.4101.7104.7103100.9 100.2101.6122.6102.4101.8101104.5102100.9 99.4101.5121100.310299.3103.7100.4101 99.2101.1121.499.6101.699.1104.2100.4101 99.43101.76120.6899.87100.52100.56103.04100.98101.07 100.01101.72121.999.34100.1898.9103.39100.52101.25 99.62101.42120.498.3199.2398.22103.98100.46101.4 99.75100.02119.9697.798.7298.03103.69100101.5 99.41101.36118.4498.3898.3299.04103.88100.13101.53 99.75101.6126.44100.3197.71100.63104.85100.44101.46 99.56102123.15100.7897.8102.33105.26100.59101.35 100.29101.71117.31101.0197.71103.11105.77101.51101.35 100.16102.2115.11101.9497.79103.54105.68101.57101.65 99.65101.1112.07101.8497.87103.06105.92101.59101.21 99.79100.34109.56102.6198.38103.11105.4101.81101.91 99.66101.63109.76102.898.73103.26105.3102.48102.37 99.46101.56109.67103.4999.13103.34104.94102.57102.02 100.02101.72107.39103.0299.14102.9104.79102.4101.19 99.69101.53107103.298.68103.31104.06102.7100.93100.21102.49105.62103.6399.56103.6104.06102.33100.56 99.73102.57104.69103.37100.48104.43104.09101.95100.41 100.15101.56100.86103102.87104.67103.43102.14100.82 100.73100.84100.23103.16103.49103.31102.65101.86101.73 100.74101.51100.06102.85104.78102.07102.8101.39101.16 100.93100.56100.33103.29104.91101.78102.09101.03101.73 101.17100.93101.99104.32104.23103.1101.98100.85100.55 101.61100.8109.84105.05104.29103.08102.46102.04102.41 101.87101.35112.29106.6103.42103.74101.99102.22102.42 101.3101.34113.95109.24103.96103.45102.7102.32103.91 102.31100.61114.74109.73104.46103.11102.95102.41104.6 102.11101.11116.71111.71104.85103.34103.4102.43106.2 101.68101.72117.91113.25105.05103.3103.85102.63106.44 102.91102.13119.19114.84105.58102.24103.42102.61106.52 103.54102.33120.51117.04104.71101.92105.2103.36107.6 103.04102.93132.93117.82104.34101.79105.68104.43110.37 102.96101.8134.16118.16103.6100.4106.27104.38111.12 102.99102.85132.21116.39103.0599.51107.4104.56111.63 103.41102.06127.33110.81102.3697.48107.51102.94110.08 102.83102.26110.15100.81101.5890.42106.61100.7108.25 101.97101.74103.9294.52101.4985.86103.7599.04108.12 101.4100.894.891.1101.783103.297.4105.1 101.5101.289.190.110184.1102.596.9104.1 101.3100.787.588.6100.784.4101.896.1102.5 100.799.588.487.6100.585.6101.195.6101.8 100.199.887.686.9100.287.5100.696101 99.898.989.684.399.687.499.694.799.7 99.699.286.183.199.187.498.294.298.2 99.3100.784.882.898.890.897.894.697.3 98.999.888.283.699.191.896.99596.4 98.6100.289.885.499.893.397.595.796.5 98.93101.399.9893.1599.87101.3797.3897.4697.1298.79102.03107.99100.21101.4109.1398.399.7198.8999.94101.6117.13104.87102.18113.4599.56100.499.62 100.14102.07122.68106.81102.32115.53100.55101.45100.08 99.96102.28124.87108.17102.24118.78101.34102.66101.18 100.68102.52127.63107.65103.03116.89101.58102.83101.11 100.88102.09128.09108103.52115.55103.22101.71100.93黑色金属冶炼及压延加工业工业品出厂价格指数（上年=100）_当月有色金属冶炼及压延加工业工业品出厂价格指数（上年=100）_当月金属制品业工业品出厂价格指数（上年=100）_当月通用设备制造业工业品出厂价格指数（上年=100）_当月专用设备制造业工业品出厂价格指数（上年=100）_当月交通运输设备制造业工业品出厂价格指数（上年=100）_当月电气机械及器材制造业工业品出厂价格指数（上年=100）_当月通信设备、计算机及其他电子设备制造业工业品出厂价格指数（上年=100）_当月仪器仪表及文化、办公用机械制造业工业品出厂价格指数（上年=100）_当月(-)(-)(-)(-)(-)(-)(-)(-)(-) 98.4584.9498.61--100.67100.9188.8598.27 100.1683.9599.54--98.498.4390.6898.94 99.9886.0897.9--99.7899.4487.73100.8 98.9288.3499.57--101.5596.6791.03102.59 98.6390.0299.68--102.999.4992.48100.38 97.9392.15102.99--103.97100.5891.57101.02 97.6194.5498.71--100.3799.7493.59101.58 97.9395.4198.59--99.6498.594.52100.55 97.7194.9398.13--101.1698.7190.3994.4196.8594.6499.21--97.52101.188.54101.3397.1195.9898.57--99.3497.0289.14101.6696.5297.3998.49--98.8798.4193.01100.3997.0198.3799.02--98.6798.5392.8101.0297.7100.67101.67--99.2398.5691.15100.0898.1499.45106.04--99.4699.4694.36100.37 98.797.2498.13--97.7101.3590.31101.84 97.3493.8797.96--96.4298.6993.0699.65 97.1690.5896.1--97.6495.3189.3597.74 95.3188.3898.04--97.9896.2892.9102.47 95.1186.8597.17--98.6296.7892.0599.44 95.2585.9296.93--99.9696.5189.4599.48 94.3386.8597.5--99.01101.3791.01100.29 93.5485.6594.58--98.2995.1587.04101.83 93.818795.23--100.6997.2787.6899.56 92.2187.3893.62--98.397.189.5295.2791.7487.4194.37--97.6992.1986.94103.0392.7191.2292.18--99.0294.5688.3590.53 92.4292.1395.16--99.5796.0289.85100.45 92.8993.4595.16--98.9494.6788.7899.83 92.9992.7195.92--99.6394.3790.18103.37 92.4291.8394.26--99.0995.5296.3998.24 92.3293.0697.81--100.3596.9290.8299.8693.4495.0894.49--100.1892.1191.15101.21 93.6898.495.81--98.796.8495.5998.3592.7999.3996.13--98.7395.0296.1497.4893.57101.8595.84--99.6195.7894.92101.62 95.75106.4696.09--99.5295.7796.9299.4193.97108.8195.84--98.2598.5193.395.9994.82109.3195.22--100.2297.0494.19100.2694.11111.8896.89--98.7794.5993.699.8895.62112.2596.93--98.5498.2394.9898.3697.46113.7397.06--98.1797.3394.9797.8498.08116.7697.44--99.4796.6694.9898.36 103.499.85102.94--101.76100.6599.23101.34 103.47116.9198.87--97.9697.5597.3598.16 104.21117.2899.26--99.5597.7497.2398.81 105.29111.3599.19--98.0398.2595.8799.15 104.26109.6999.59--97.6897.8394.3898.05 104.16107.8399.53--98.5697.5394.6599.36 104.4104.999.1--98.797.494.8102.2 104.9103.899.9--99.297.194.798.8 102.9100.7499.36--97.8197.4593.6698.63 103.7100.199.2--97.297.994.797.5 102.996.399.3--97.297.595.998.1 101.995.799--96.997.994.9101.2 10294.298.6--97.3897.6794.3997.85 101.593.598.3--97.897.594.398.9 99.992.898--9897.694.399.3 99.390.798.3--97.696.994.497.8 98.988.997.6--979793.298.9 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118.6111.1104.1100.9100.298100.493.597.6 122113.7105.4101.6100.898.3101.494.398.4 124.4120.1107.6102.7101.698.6102.793.999 124.3121.4108.8103.3101.998.7103.994.998.6 121.1120.7108.1103.3101.898.3104.595.698.1 118.5119.7108.2103.5102.198.210496.498 116.2119.6107.5103.3102.198.2103.995.498.6 117.1119.8108.1103.5102.297.9103.895.498.4 117.2120.3108.1103.8102.298.1104.995.798.6 117.5123108.1103.8102.198.110595.599.2 115.8120.2107.6103.8102.798.2104.595.398.8 114.2117.1107.4103.9102.597.9105.395.898.4 110.8115.1107103.8102.497.8104.496.498.8 107.6112.1105.4102.510298.2104.496.198 106.5110.8105.3102.4102.298.5102.895.997.6 106.3109.3104.610210298.5103.295.597.9 107.4111105.2101.8101.898.9103.195.498.7 107.9112.8104.4101.610299103.495.699.6 106.4112104.5101.510299.4103.395.398.7 104.3114.4104.1101.2101.699.5103.394.698.8 102.6112.2102.9101.3101.799.1102.895.198.8 100.3110.3102.7100.9101.699102.794.299.3 98.7109.6101.4101.310199.3102.694.799.3 97110.6101.1101.1100.899102.594.499.2 93.41113.2100.37101.17101.2599.68103.1895.6798.36 92.38115.2999.93100.96101.3699.4103.9795.7798.23 91.4115.3899.53100.06101.2999.45104.2696.6799.1 90.78116.6399.3299.99101.0499.4105.396.3399.17 92.6125.34100.2999.19101.0199.26108.0596.4799.46 95.75126.82100.5199.87100.999.34108.9496.2199.17 97.26126.9101.2199.71100.8399.33109.1896.8199.47 97.62124.47101.55100.03101.0899.76109.7396.5299.27 97.88128.51101.78100.17101.1999.52109.5396.6799.34 99.2127.09102.25100.23101.5499.78109.4597.1799.24 101.26126.71102.9100.43101.1999.62108.5497.37100.16 102.41123.67102.67100.49101.3799.62108.8997.699.78 104.89119.97103.15101.07100.77100.08107.4696.2899.78 105.92114.7102.68101.22100.6199.77106.7796.6498.48 106.88116.26103.08101.23100.5599.97105.4397.2998.16105.97118.75102.9101.37100.5299.82105.8497.9198.36 106.54115.72102.74101.45101.7999.91103.4397.8498.78 106.32116.48102.35101.5101.68100.02103.1198.0498.53 105.43112.61102.25101101.71100.2102.9597.4398.63 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81.374.39799.7100.7100.293.895.198.9 77.676.195.498.7100.199.893.394.898.8 75.275.194.497.899.599.793.394.898.5 75.276.49497.398.999.493.695.298 78.780.8949798.899.294.395.798.9 7986.294.696.89999.39596.599.2 82.991.895.396.698.898.996.295.999.5 92.13104.2297.6797.4299.299.3498.7896.0199.19 96.11114.198.698.1399.6999.86101.0796.7699.4598.56125.1899.1598.73100.0699.56103.3396.7598.7499.78121.899.5898.999.999.99104.0597.3199.08 104.48124.28100.1999.12100.43100.55104.2897.299.59 111.14122.69101.2899.79100.63100.64104.0797.5999.42 112.56120.7102.15100.35101.35100.67103.7898.1998.73。