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[easychart type=”line” height=”500″ width=”1500″ title=”Unidades Lançadas – Milhares” groupnames=”MG, MS, MT, PA, PB, PE, PI, PR, RJ, RN” valuenames=” 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”4.04, 9.24, 20.12, 20.74, 31.96, 24.61, 9.71, 8.81″ group2values=”1.67, 0.63, 4.66, 6.30, 6.83, 1.44, 2.31, 0.92″ group3values=” 3.30, 3.63, 3.83, 6.56, 5.29, 3.05, 4.85, 0.00″ group4values=”1.50, 1.83, 2.85, 9.95, 9.12, 5.86, 4.65, 0.00″ group5values=”0.89, 0.32, 0.48, 0.74, 1.75, 0.29, 1.44, 1.19″ group6values=”3.66, 6.01, 10.79, 15.76, 14.00, 16.63, 8.23, 5.07″ group7values=”0.13, 1.75, 0.96, 1.92, 3.31, 2.45, 9.37, 0.73″ group8values=”7.83, 11.95, 14.33, 23.88, 23.59, 16.29, 9.20, 4.54″ group9values=”26.11, 31.42, 27.28, 35.50, 45.96, 37.24, 29.46, 15.55″ group10values=”0.46, 0.49, 7.48, 11.47, 12.52, 6.90, 2.97, 1.61″]

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[easychart type=”line” height=”500″ width=”1500″ title=”Valor por Unidade Lançada – R$ Milhares” groupnames=”MG, MS, MT, PA, PB, PE, PI, PR, RJ, RN” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”482.6, 400.4, 255.4, 279.6, 255.8, 235.2, 362.57, 250.17″ group2values=”143.7, 333.3, 139.4, 146.0, 152.2, 118.0, 305.36, 124.05″ group3values=”187.8, 192.8, 208.8, 167.6, 264.6, 298.3, 296.93, 0.00″ group4values=”126.6, 267.70, 245.6, 165.8, 275.2, 141.6, 169.54, 0.00″ group5values=”199.70, 125.00, 270.80, 283.70, 240.00, 517.20, 379.50, 272.65″ group6values=”469.9, 301.1, 258.5, 236.8, 292.1, 227.7, 311.37, 334.65″ group7values=” 77.9, 148.5, 239.5, 296.8, 262.8, 175.5, 164.34, 491.11″ group8values=” 264.3, 252.7, 210.7, 238.6, 276.8, 246.7, 338.55, 339.13″ group9values=”252.3, 245.3, 195.0, 248.4, 278.9, 367.6, 446.44, 469.45″ group10values=”173.9, 877.5, 168.4, 140.3, 211.6, 220.2, 228.80, 133.46″]

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[easychart type=”line” height=”500″ width=”1500″ title=”VGV – R$ Bilhões” groupnames=”São Paulo, Rio de Janeiro, Salvador, Brasilia, Fortaleza, Belo Horizonte, Manaus, Curitiba, Recife, Porto Alegre” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 ” group1values=”14.29, 14.40, 12.85, 18.79, 23.53, 19.14, 25.41, 8.77″ group2values=”4.82, 5.44, 2.99, 5.62, 8.74, 9.11, 9.65, 5.21″ group3values=”3.30, 3.92, 2.26, 3.64, 3.42, 1.83, 1.58, 0.69″ group4values= “0.73, 1.04, 2.01, 2.31, 2.92, 1.44, 1.43, 0.14″ group5values=”1.08, 1.85, 1.58, 2.24, 2.64, 2.00, 3.00, 1.95″ group6values=”1.17, 1.93, 3.08, 3.64, 5.40, 3.14, 2.21, 1.13″ group7values=” 0.62, 1.16, 1.21, 2.57, 1.97, 0.95, 0.70, 0.52″ group8values=”1.34, 2.22, 2.13, 4.05, 5.11, 2.49, 2.02, 1.01″ group9values=”1.37, 1.51, 2.28, 2.12, 2.24, 2.10, 1.35, 0.83″ group10values=”1.71, 2.47, 2.29, 2.56, 2.58, 2.40, 2.16, 0.70″]

[easychart type=”line” height=”500″ width=”1500″ title=”VGV – R$ Bilhões” groupnames=”Belém, Goiânia, Guarulhos, Campinas, São Luís, São Gonçalo, Maceió, Duque de Caxias, Teresina, Natal” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 ” group1values=”0.04, 0.46, 0.33, 0.89, 2.15, 0.39, 0.56, 0.00″ group2values=”1.38, 2.50, 2.68, 2.99, 3.94, 2.80, 2.30, 1.40″ group3values=”0.70, 1.10, 1.08, 0.81, 2.01, 1.86, 1.92, 0.83″ group4values=”0.80, 1.65, 1.55, 2.11, 1.00, 0.66, 2.14, 0.83″ group5values=”0.37, 0.39, 0.66, 2.15, 1.06, 0.90, 0.18, 0.06 ” group6values=”0.21, 0.10, 0.23, 0.11, 0.18, 0.15, 0.03, 0.09″ group7values=” 0.08, 0.22, 0.40, 0.84, 0.35, 0.13, 1.22, 0.34″ group8values=”0.16, 0.09, 0.02, 0.11, 0.02, 0.16, 0.10, 0.00″ group9values=”0.01, 0.26, 0.23, 0.57, 0.87, 0.43, 1.54, 0.36″ group10values=”0.08, 0.37, 0.96, 1.09, 1.79, 0.90, 0.68, 0.04″]

[easychart type=”line” height=”500″ width=”1500″ title=”VGV – R$ Bilhões” groupnames=”Nova Iguaçu, Campo Grande, São Bernardo do Campo, João Pessoa, Santo André, Osasco, Jaboatão dos Guararapes, São José dos Campos, Ribeirão Preto, Contagem” valuenames=” 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”0.18, 0.30, 0.08, 0.16, 0.18, 0.04, 0.11, 0.24″ group2values=”0.24, 0.21, 0.56, 0.90, 0.99, 0.07, 0.65, 0.00″ group3values=”1.47, 1.09, 0.64, 0.75, 1.56, 1.08, 1.51, 0.34″ group4values=”0.16, 0.04, 0.13, 0.21, 0.34, 0.19, 0.54, 0.25″ group5values=”0.50, 0.78, 0.51, 0.94, 0.75, 1.41, 1.42, 0.35″ group6values=”0.28, 0.78, 0.13, 0.60, 1.07, 1.15, 1.58, 0.72″ group7values=”0.04, 0.11, 0.07, 0.21, 0.57, 0.46, 0.71, 0.24″ group8values=”1.42, 1.22, 0.85, 0.75, 1.72, 1.05, 0.61, 0.00″ group9values=”0.81, 1.48, 0.64, 2.17, 1.48, 1.57, 1.56, 0.38″ group10values=”0.02, 0.01, 0.29, 0.09, 0.08, 0.23, 0.02, 0.22″]

[easychart type=”line” height=”500″ width=”1500″ title=”VGV – R$ Bilhões” groupnames=”Uberlândia, Sorocaba, Aracaju, Feira de Santana, Cuiabá, Juiz de Fora, Joinville, Londrina, Niterói, Ananindeua” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 ” group1values=”0.04, 0.19, 0.38, 0.32, 0.59, 0.48, 0.34, 0.38″ group2values=”, 0.61, 0.71, 0.63, 0.41, 0.69, 0.68, 1.29, 0.15″ group3values=”0.31, 0.64, 0.85, 0.94, 1.23, 1.28, 0.60, 0.26″ group4values=”0.00, 0.00, 0.00, 0.00, 0.01, 0.04, 0.26, 0.12″ group5values=” 0.57, 0.68, 0.74, 0.92, 1.40, 0.86, 1.19, 0.06″ group6values=”0.00, 0.00, 0.01, 0.25, 0.36, 0.10, 0.07, 0.00″ group7values=”0.13, 0.38, 0.21, 0.29, 0.25, 0.47, 0.30, 0.25″ group8values=”0.51, 0.50, 0.58, 1.21, 0.54, 0.56, 0.73, 0.21″ group9values=”0.76, 0.89, 1.02, 1.41, 1.38, 1.45, 1.27, 0.90″ group10values=”0.14, 0.03, 0.32, 0.43, 0.29, 0.05, 0.06, 0.00″]

[easychart type=”line” height=”500″ width=”1500″ title=”VGV – R$ Bilhões” groupnames=” Campos dos Goytacazes, Aparecida de Goiania, Caxias do Sul, Porto Velho, Florianopolis, Santos, Mauá, Vila Velha, Serra, JUNDIAÍ” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”0.08, 0.24, 0.23, 0.20, 0.36, 0.38, 0.62, 0.18″ group2values=”0.13, 0.03, 0.18, 0.14, 0.15, 0.17, 0.15, 0.11″ group3values=”0.00, 0.00, 0.04, 0.19, 0.05, 0.31, 0.49, 0.09’” group4values=”0.03, 0.32, 0.37, 0.25, 0.10, 0.03, 0.15, 0.07″ group5values=”0.80, 1.04, 1.14, 0.42, 1.15, 0.69, 0.58, 0.22″ group6values=”1.17, 0.92, 0.80, 1.21, 2.25, 2.10, 1.56, 1.08″ group7values=”0.01, 0.09, 0.17, 0.02, 0.23, 0.24, 0.18, 0.02″ group8values=” 0.29, 0.71, 0.73, 1.02, 0.86, 0.17, 0.48″ group9values=”0.42, 0.44, 0.76, 0.66, 0.61, 0.10, 0.12, 0.07″ group10values=”0.52, 0.67, 0.57, 1.38, 1.42, 1.86, 1.08, 0.39″]

[easychart type=”line” height=”500″ width=”1500″ title=”Unidades Lançadas – Milhares” groupnames=”São Paulo, Rio de Janeiro, Salvador, Brasilia, Fortaleza, Belo Horizonte, Manaus, Curitiba, Recife, Porto Alegre” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”44.06, 39.97, 39.41, 48.11, 48.53, 36.18, 41.19, 15.49″ group2values=”16.21, 17.64, 14.55, 22.02, 27.43, 19.50, 18.10, 9.41″ group3values=”11.11, 18.39, 7.99, 12.83, 10.48, 4.46, 2.89, 1.76″ group4values=”2.61, 2.36, 4.10, 4.32, 3.35, 2.61, 1.97, 0.47″ group5values=”4.35, 7.01, 6.03, 8.68, 7.90, 6.29, 6.03, 3.96″ group6values=”2.38, 4.99, 8.88, 9.44, 14.02, 8.05, 4.28, 2.76″ group7values=”2.16, 4.13, 6.49, 8.56, 6.12, 3.56, 1.59, 0.79″ group8values=”4.03, 8.11, 9.36, 14.38, 15.31, 7.06, 4.47, 2.85″ group9values=”3.39, 4.51, 7.54, 7.29, 6.41, 5.23, 3.59, 2.05″ group10values=”7.11, 8.74, 8.51, 8.71, 7.69, 6.70, 4.22, 2.15″]

[easychart type=”line” height=”500″ width=”1500″ title=”Unidades Lançadas – Milhares” groupnames=”Belém, Goiânia, Guarulhos, Campinas, São Luís, São Gonçalo, Maceió, Duque de Caxias, Teresina, Natal” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”0.14, 1.57, 0.73, 2.95, 6.81, 0.81, 1.48, 0.00″ group2values=”8.26, 12.98, 19.5, 18.77, 16.58, 11.08, 6.50, 2.98″ group3values=”3.24, 6.88, 7.53, 5.19, 9.22, 6.22, 6.24, 2.22″ group4values=”3.90, 8.70, 10.67, 11.28, 4.45, 1.92, 4.71, 1.56″ group5values=”0.76, 1.82, 1.44, 10.86, 4.89, 3.27, 0.88, 0.27″ group6values=”1.82, 1.14, 1.55, 1.00, 1.11, 0.94, 0.19, 0.36″ group7values=”0.35, 1.66, 1.67, 6.97, 1.50, 0.89, 5.38, 0.85″ group8values=”1.07, 0.72, 0.20, 0.96, 0.16, 0.75, 0.36, 0.00″ group9values=”0.13, 1.75, 0.96, 1.92, 3.31, 2.45, 9.37, 0.73″ group10values=”0.46, 1.26, 4.61, 5.85, 5.98, 3.19, 2.97, 0.12″]

[easychart type=”line” height=”500″ width=”1500″ title=”Unidades Lançadas – Milhares” groupnames=”Nova Iguaçu, Campo Grande, São Bernardo do Campo, João Pessoa, Santo André, Osasco, Jaboatão dos Guararapes, São José dos Campos, Ribeirão Preto, Contagem” valuenames=” 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”0.84, 2.20, 0.56, 1.21, 0.78, 0.24, 0.27, 0.43″ group2values=”1.67, 0.63, 3.81, 6.05, 6.14, 0.30, 1.88, 0.00″ group3values=”5.67, 4.89, 2.50, 3.21, 4.70, 3.37, 4.88, 1.14″ group4values=”0.89, 0.32, 0.48, 0.74, 1.18, 0.43, 1.43, 0.56″ group5values=”3.14, 4.90, 1.69, 2.70, 2.46, 4.32, 4.26, 0.76″ group6values=”1.84, 4.57, 0.93, 2.96, 3.76, 2.74, 5.47, 2.11″ group7values=”0.15, 0.52, 0.36, 1.58, 2.65, 1.89, 2.57, 1.17″ group8values=”7.04, 6.14, 4.65, 5.57, 5.66, 3.34, 2.21, 0.00″ group9values=”3.31, 6.97, 2.99, 10.93, 5.95, 5.80, 5.52, 1.13″ group10values=”0.21, 0.13, 2.94, 0.64, 0.63, 1.57, 0.10, 0.60″]

[easychart type=”line” height=”500″ width=”1500″ title=”Unidades Lançadas – Milhares” groupnames=”Uberlândia, Sorocaba, Aracaju, Feira de Santana, Cuiabá, Juiz de Fora, Joinville, Londrina, Niterói, Ananindeua” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 ” group1values=”0.35, 0.91, 3.13, 2.75, 5.61, 3.24, 1.38, 1.80″ group2values=”3.73, 6.55, 4.88, 3.66, 3.31, 3.79, 5.63, 0.58″ group3values=”0.89, 2.20, 3.75, 3.88, 4.33, 3.91, 1.56, 1.11″ group4values=”0.00, 0.00, 0.00, 0.00, 0.47, 0.76, 1.93, 0.46″ group5values=”2.68, 3.23, 3.26, 4.98, 5.29, 2.55, 3.10, 0.16″ group6values=”0.00, 0.00, 0.05, 1.75, 2.27, 0.49, 0.56, 0.00″ group7values=”0.34, 1.93, 0.93, 0.94, 1.00, 1.58, 0.68, 0.78″ group8values=”2.49, 2.58, 2.43, 6.14, 1.92, 2.18, 3.38, 0.89″ group9values=”2.36, 3.47, 3.15, 3.59, 3.69, 3.06, 2.00, 1.53″ group10values=”1.36, 0.26, 1.59, 3.71, 1.56, 0.47, 0.46, 0.00″]

[easychart type=”line” height=”500″ width=”1500″ title=”Unidades Lançadas – Milhares” groupnames=” Campos dos Goytacazes, Aparecida de Goiania, Caxias do Sul, Porto Velho, Florianopolis, Santos, Mauá, Vila Velha, Serra, JUNDIAÍ” valuenames=” 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”0.35, 1.62, 1.54, 0.99, 2.33, 1.53, 2.99, 0.68″ group2values=”1.13, 0.26, 1.58, 1.23, 1.01, 1.23, 0.88, 0.40″ group3values=”0.00, 0.00, 0.19, 0.48, 0.10, 0.83, 1.50, 0.30″ group4values=”0.14, 1.45, 4.47, 1.61, 0.99, 0.14, 1.52, 0.29″ group5values=”2.17, 2.80, 2.99, 0.82, 2.22, 1.46, 0.63, 0.47″ group6values=”2.88, 3.72, 1.38, 3.05, 4.02, 4.26, 3.49, 1.17″ group7values=”0.24, 0.96, 1.30, 0.09, 1.54, 1.01, 0.75, 0.10″ group8values=”0.87, 1.83, 1.38, 1.66, 4.85, 3.42, 0.74, 1.59″ group9values=”2.04, 1.87, 5.62, 4.54, 5.02, 0.44, 0.40, 0.48″ group10values=”1.90, 3.14, 3.00, 5.70, 6.63, 6.28, 3.51, 1.03″ ]

[easychart type=”line” height=”500″ width=”1500″ title=”Valor Por Unidade Lançada – R$ Milhares” groupnames=”São Paulo, Rio de Janeiro, Salvador, Brasilia, Fortaleza, Belo Horizonte, Manaus, Curitiba, Recife, Porto Alegre” valuenames=” 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”324.33, 360.27, 326.06, 390.56, 484.85, 529.02, 616.99, 566.54″ group2values=”297.35, 308.39, 205.50, 255.22, 318.63, 467.18, 533.37, 554.06″ group3values=”297.03, 213.16, 282.85, 283.71, 326.33, 410.31, 547.37, 395.22″ group4values=”279.70, 440.68, 490.24, 534.72, 871.64, 551.72, 724.28, 305.73″ group5values=”248.27, 263.91, 262.02, 258.06, 334.18, 317.97, 497.51, 492.67″ group6values=”491.60, 386.78, 346.87, 385.60, 385.16, 390.06, 516.14, 407.61″ group7values=”287.04, 280.87, 186.44, 300.23, 321.90, 266.86, 438.64, 663.71″ group8values=”332.51, 273.74, 227.56, 281.64, 333.79, 352.70, 450.48, 355.11″ group9values=”404.13, 334.81, 302.38, 290.81, 349.45, 401.53, 376.29, 403.61″ group10values=”240.51, 282.61, 269.10, 293.92, 335.50, 358.21, 511.39, 325.74″]

[easychart type=”line” height=”500″ width=”1500″ title=”Valor Por Unidade Lançada – R$ Milhares” groupnames=”Belém, Goiânia, Guarulhos, Campinas, São Luís, São Gonçalo, Maceió, Duque de Caxias, Teresina, Natal” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”285.71, 293.00, 452.05, 301.70, 315.71, 481.49, 374.66, 000.00″ group2values=”167.07, 192.60, 137.44, 159.30, 237.64, 252.71, 353.48, 471.26″ group3values=”216.05, 159.88, 143.43, 156.07, 218.00, 299.04, 308.17, 375.56″ group4values=”205.13, 189.66, 145.27, 187.06, 224.72, 343.75, 454.26, 526.47″ group5values=”486.84, 214.28, 458.33, 197.97, 216.77, 275.23, 208.85, 237.74″ group6values=”115.38, 87.72, 148.39, 110.00, 162.16, 159.57, 163.16, 243.70″ group7values=”228.57, 132.53, 239.52, 120.52, 233.33, 146.07, 225.75, 399.76″ group8values=”149.53, 125.00, 100.00, 114.58, 125.00, 213.33, 271.98, 000.00″ group9values=”76.92, 148.57, 239.58, 296.88, 262.84, 175.51, 164.34, 491.11″ group10values=”173.91, 293.65, 208.24, 186.32, 299.33, 282.13, 228.80, 353.45″]

[easychart type=”line” height=”500″ width=”1500″ title=”Valor Por Unidade Lançada – R$ Milhares” groupnames=”Nova Iguaçu, Campo Grande, São Bernardo do Campo, João Pessoa, Santo André, Osasco, Jab. Guararapes, São José dos Campos, Ribeirão Preto, Contagem” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”214.28, 136.36, 142.86, 132.23, 230.77, 166.67, 405.20, 548.39″ group2values=”143.72, 333.33, 146.99, 148.76, 161.24, 233.33, 346.09, 000.00″ group3values=”259.26, 222.90, 256.00, 233.64, 331.91, 320.38, 310.44, 295.87″ group4values=”179.78, 125.00, 270.83, 283.78, 288.13, 441.86, 379.38, 441.44″ group5values=”159.26, 159.18, 301.78, 348.15, 304.88, 326.39, 333.26, 461.84″ group6values=”152.17, 170.68, 139.79, 202.70, 284.57, 419.71, 288.27, 340.27″ group7values=”266.66, 211.54, 194.44, 132.91, 215.09, 243.39, 275.31, 201.54″ group8values=”201.70, 198.70, 182.80, 134.65, 303.89, 314.38, 277.55, 000.00″ group9values=”244.71, 212.34, 214.05, 198.54, 248.74, 270.69, 283.05, 335.70″ group10values=”95.24, 76.92, 98.64, 140.63, 126.98, 146.50, 229.17, 361.67″]

[easychart type=”line” height=”500″ width=”1500″ title=”Valor Por Unidade Lançada – R$ Milhares” groupnames=”Uberlândia, Sorocaba, Aracaju, Feira de Santana, Cuiabá, Juiz de Fora, Joinville, Londrina, Niterói, Ananindeua” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”114.28, 208.80, 121.40, 116.36, 105.17, 148.15, 245.12, 212.26″ group2values=”163.54, 108.40, 129.10, 112.02, 208.46, 179.42, 228.68, 262.07″ group3values=”348.31, 290.91, 226.67, 242.27, 284.06, 384.62, 232.37″ group4values=”000.00, 000.00, 000.00, 000.00, 21.28, 52.63, 133.40, 251.64″ group5values=”212.69, 210.53, 226.99, 184.74, 264.65, 337.25, 381.77, 356.25″ group6values=”000.00, 000.00, 200.00, 142.86, 158.59, 204.08, 119.86, 000.00″ group7values=”382.35, 196.90, 225.80, 308.51, 250.00, 297.47, 439.71, 322.21″ group8values=”204.82, 193.80, 238.68, 197.07, 281.25, 256.88, 216.04, 230.60″ group9values=”322.03, 256.48, 323.81, 392.76, 373.98, 473.86, 633.23, 587.85″ group10values=”102.94, 115.38, 201.25, 115.90, 185.90, 106.38, 118.79, 000.00″]

[easychart type=”line” height=”500″ width=”1500″ title=”Valor Por Unidade Lançada – R$ Milhares” groupnames=” Campos Goytacazes, Ap. de Goiania, Caxias do Sul, Porto Velho, Florianopolis, Santos, Mauá, Vila Velha, Serra, JUNDIAÍ” valuenames=”2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”228.57, 148.15, 149.35, 202.02, 154.50, 248.37, 207.50, 258.82″ group2values=”115.04, 113.92, 113.82, 148.51, 138.21, 173.08, 272.28″ group3values=”000.00, 000.00, 210.53, 395.83, 500.00, 373.49, 324.20, 282.39″ group4values=”214.28, 220.69, 082.77, 155.28, 101.01, 214,29, 98.62, 227.27″ group5values=”368.66, 371.43, 381.27, 512.19, 518.02, 926.40, 469.08″ group6values=”406.25, 247.33, 579.71, 396.72, 559.70, 492.95, 446.13, 925.70″ group7values=”41.66, 93.72, 130.77, 222.22, 149.35, 237.62, 238.67, 222.22″ group8values=”333.33, 387.97, 528.98, 222.90, 210.30, 228.49, 305.36″ group9values=”205.88, 235.29, 135.23, 145.37, 121.51, 227.27, 287.50, 139.58″ group10values=”273.68, 213.37, 190.00, 242.10, 214.18, 296.18, 309.18, 381.92″]

[easychart type=”line” height=”500″ width=”1500″ title=” Prontos  Residencias Venda  – Valor Médio por Metro Quadrado – R$” groupnames=” Brasil – 16 Cidades – JUL 2014″ valuenames=” Média Nac., R. Janeiro, São Paulo, Brasília,  Niterói, Recife, B. Horizonte, São C. Sul, Fortaleza, Florianópolis, Curitiba, Pto. Alegre, Vitória, Sto. André, S. B. Campo, Salvador, Vila Velha” group1values=”7574,  10699, 8186, 8086, 7435, 5788, 5534, 5457, 5451, 5270, 5037, 4883, 4817, 4683, 4447, 4429, 3949″]

[easychart type=”line” height=”500″ width=”1500″ title=”SP-Capital – Unidades Vendidas – Anual” groupnames=”Qtde Vend Geral” valuenames=”2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”23810, 28324, 36615, 32847, 35832, 35869, 28316, 26958, 33319, 20668″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Unidades Vendidas – Mensal” groupnames=”Qtde Vend Geral, Qtde Vend 1 DORM, Qtde Vend 2 DORM, Qtde Vend 3 DORM, Qtde Vend 4 DORM ” valuenames=”mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13, mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14, ago14, wp_14″ group1values=”2223.0, 2007.0, 2728.0, 1846.0, 1689.0, 1860.0, 3674.0, 1972.0, 2852.0, 2930.0, 848.0, 1927.0, 4087.0, 3488.0, 3278.0, 3872, 1674, 3464, 2953, 2160, 2777, 2791, 1030, 981, 1744, 2147, 2080, 3375, 1706, 2807, 4798″ group2values=”206.0, 103.0, 107.0, 332.0, 324.0, 181.0, 602.0, 228.0, 782.0, 1121.0, 145.0, 323.0, 809.0, 635.0, 899.0, 1336, 590, 864, 884, 585, 299, 1022, 148, 74, 454, 716, 57, 496, 266,798, 775″ group3values=”1033.0, 1051.0, 1610.0, 864.0, 766.0, 1085.0, 2224.0, 1116.0, 992.0, 961.0, 461.0, 1162.0, 1472.0, 1829.0, 1555.0, 1274, 688, 1607, 1406, 1053, 1124, 1043, 514, 558, 730, 762, 1496, 1851, 1044, 1276, 2595″ group4values=”663.0, 666.0, 726.0, 484.0, 456.0, 442.0, 725.0, 571.0, 766.0, 702.0, 186.0, 341.0, 859.0, 772.0, 609.0, 1081, 285, 879, 568, 397, 1044, 648, 330, 298, 473, 494, 465, 582, 329, 552, 1141″ group5values=”321.0, 187.0, 285.0, 166.0, 143.0, 152.0, 123.0, 57.0, 312.0, 146.0, 56.0, 101.0, 947.0, 252.0, 215.0, 181, 111, 114, 95, 125, 310, 78, 38, 51, 87, 175, 446, 67, 181, 287″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Porcentagem de Unidades Vendidas” groupnames=”Porcentagem Qtde Vendas 1 DORM, Porcentagem Qtde Vendas 2 DORM, Porcentagem Qtde Vendas 3 DORM, Porcentagem Qtde Vendas 4 DORM” valuenames=”mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13, mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14, ago14, wp_14″ group1values=”9, 5, 4, 18, 19, 10, 16, 12, 27, 38, 17, 17, 20, 18, 27, 35, 35, 25, 30, 27, 11, 37, 14, 8, 26, 33, 3, 15, 16, 28, 16″ group2values=”46, 52, 59, 47, 45, 58, 61, 57, 35, 33, 54, 60, 36, 20, 47, 33, 41, 46, 48, 49, 40, 37, 50, 57, 42, 35, 72, 55, 61, 45, 54″ group3values=”30, 33, 27, 26, 27, 24, 20, 29, 27, 24, 22, 18, 21, 13, 19, 28, 17, 25, 19, 18, 38, 23, 32, 30, 27, 23, 22, 28, 17, 19, 20, 24″ group4values=”14, 9, 10, 9, 8, 8, 3, 3, 11, 5, 7, 5, 23, 10, 7, 5, 7, 3, 3, 6, 11, 3, 4, 5, 5, 8, 3, 13, 4, 6, 6″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Unidades Lançadas” groupnames=”Qtde Lanç 1 DORM, Qtde Lanç 2 DORM, Qtde Lanç 3 DORM, Qtde Lanç 4 DORM, Qtde Lanç GERAL” valuenames=” mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13, mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14, ago14, wp_14″ group1values=”74.00, 0.00, 271.00, 246.00, 182.00, 474.00, 508.00, 370.00, 1445.00, 1074.00, 240.00, 41.00, 624.00, 568.00, 1041.00, 1051.00, 408, 768, 705, 672, 1002, 2141, 163, 104, 1066, 467, 188, 739, 900, 1136, 1367″ group2values=”972.00, 832.00, 1031.00, 516.00, 1004.00, 1069.00, 1994.00, 1037.00, 2406.00, 1707.00, 254.00, 1192.00, 1013.00, 1192.00, 812.00, 1269.00, 706, 1243, 1359, 1318, 1817, 1132, 132, 451, 794, 1142, 1464, 2465, 698, 1817, 2793″ group3values=”356.00, 632.00, 523.00, 344.00, 505.00, 397.00, 1036.00, 584.00, 803.00, 824.00, 150.00, 495.00, 539.00, 666.00, 423.00, 993.00, 289, 778, 495, 754, 1932, 644, 115, 275, 614, 504, 963, 1203, 134, 363, 1458″ group4values=”176.00, 158.00, 414.00, 166.00, 46.00, 138.00, 267.00, 368.00, 240.00, 433.00, 16.00, 88.00, 669.00, 290.00, 96.00, 261.00, 0, 86, 105, 210, 246, 106, 3, 110, 81, 175, 66, 555, 0, 50, 290″ group5values=”1578, 1622.00, 2239.00, 1366.00, 1737.00, 2078.00, 3805.00, 2359.00, 4894.00, 4038.00, 660.00, 1816.00, 2845.00, 2716, 2372.00, 3574.00, 1403, 2875, 2964, 2954, 4997, 4023, 413, 940, 1744, 2147, 2681, 4962, 1732, 3366, 5908″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Porcentagem de Unidades Lançadas” groupnames= “Porcentagem Qtde Lanç 1 DORM, Porcentagem Qtde Lanç 2 DORM, Porcentagem Qtde Lanç 3 DORM, Porcentagem Qtde Lanç 4 DORM” valuenames=”mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13, mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14″ group1values=”5, 0, 12, 18, 10, 23, 13, 16, 30, 27, 36, 2, 22, 21, 44, 29, 29, 27, 24, 23, 20, 53, 39, 11, 61, 22, 7, 15, 52, 34, 23″ group2values=”62, 51, 46, 38, 58, 51, 52, 44, 49, 42, 38, 66, 36, 44, 34, 36, 50, 43, 46, 45, 36, 28, 32, 48, 46, 53, 55, 50, 40, 54, 47″ group3values=”23, 39, 23, 25, 29, 19, 27, 25, 16, 20, 23, 27, 19, 25, 18, 28, 21, 27, 17, 26, 39, 16, 28, 29, 35, 23, 36, 24, 8, 11, 25″ group4values=”11, 10, 18, 12, 3, 7, 7, 16, 5, 11, 2, 5, 24, 11, 4, 7, 0, 3, 4, 7, 5, 3, 1, 12, 5, 8, 2, 11, 0, 1, 5″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – VGV Vendido – R$ Milhões” groupnames=”VGV GERAL, VGV 1 DORM, VGV 2 DORM, VGV 3 DORM, VGV 4 DORM ” valuenames=”mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13, mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14, ago14, wp_ 14″ group1values=”1282.70, 886.10, 1371.30, 933.00, 849.70, 978.80, 1344.70, 940.40, 1654.70, 1626.30, 405.90, 875.50, 3185.40, 1749.80, 1775.90, 2385.70, 857.90, 1552.30, 1318.60, 1119.70, 2019.90, 1357.50, 484.20, 485.40, 967.90, 1317.20, 1352.20, 1450.80, 695.40, 1324.80, 2216.80″ group2values=”82.60, 44.80, 52.10, 131.80, 141.60, 69.90, 210.10, 76.80, 349.10, 536.50, 44.90, 147.50, 380.90, 262.80, 393.90, 640.00, 242.20, 313.50, 305.20, 246.10, 161.20, 425.30, 76.90, 36.00, 208.40, 347.90, 36.30, 218.20, 104.80, 307.40, 246.60″ group3values=”369.60, 306.60, 460.40, 317.30, 265.30, 427.60, 639.80, 444.80, 354.90, 388.10, 145.10, 369.70, 589.10, 611.60, 632.80, 626.90, 261.70, 559.00, 490.90, 406.20, 433.40, 381.80, 150.00, 165.00, 298.20, 364.50, 837.60, 454.20, 319.60, 445.90, 925.50″ group4values=”358.20, 295.60, 384.50, 257.70, 239.50, 243.90, 329.40, 324.30, 486.30, 394.20, 109.40, 190.20, 490.60, 447.30, 454.80, 806.20, 192.80, 487.80, 368.30, 268.80, 720.60, 406.80, 185.20, 195.20, 301.30, 316.60, 383.10, 311.20, 191.70, 322.70, 681.00″ group5values=”472.30, 239.10, 474.30, 226.20, 203.30, 237.40, 165.40, 94.50, 464.40, 307.50, 106.50, 168,10, 1724.80, 428.10, 294.40, 312.60, 161.20, 192.00, 154.20, 198.60, 704.70, 143.60, 72.10, 89.20, 160.00, 288.20, 95.20, 467.20, 79.30, 248.80, 363.70″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – VGV Vendido – R$ Milhões – Atualizado pelo INCC” groupnames=”VGV GERAL, VGV 1 DORM, VGV 2 DORM, VGV 3 DORM, VGV 4 DORM ” valuenames=”2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”11772.40, 13372.60, 14877.30, 18793.70, 16221.80, 16071.10, 18578.40, 15721.70, 15043.00, 19591.70, 10294.70″ group2values=”475.10, 228.40, 390.80, 171.50, 273.20, 708.80, 1620.70, 1785.90, 2005.10, 3737.20, 1582.50″ group3values=”2160.30, 2176.50, 2197.00, 3088.40, 2400.70, 3452.00, 5322.80, 5344.90, 5088.40, 5796.80, 3960.50″ group4values=”3091.70, 3582.50, 3964.00, 4538.40, 5366.20, 4935.50, 5590.70, 5002.30, 4363.90, 5183.00, 2888.00″ group5values=”6045.30, 7385.20, 8325.50, 10995.40, 8181.70, 6974.80, 6044.20, 3588.60, 3585.60, 4874.70, 1863.70″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Porcentagem VGV Vendido” groupnames=”Porcentagem VGV 1 DORM, Porcentagem VGV 2 DORM, Porcentagem VGV 3 DORM, Porcentagem VGV 4 DORM” valuenames=” mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13,mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14, ago14, wp_14″ group1values=”6, 5, 4, 14, 17, 7, 16, 8, 21, 33, 11, 17, 12, 15, 22, 27, 28, 20, 23, 22, 8, 31, 16, 7, 22, 26, 3, 15, 15, 23, 11″ group2values=” 29, 35, 34, 34, 31, 44, 48, 47, 21, 24, 36, 42, 18, 35, 36, 26, 31, 36, 37, 36, 21, 28, 31, 34, 31, 28, 62, 31, 46, 34, 42″ group3values=”28, 33, 28, 28, 28, 25, 24, 34, 29, 24, 27, 22, 15, 26, 26, 34, 22, 31, 28, 24, 36, 30, 38, 40, 31, 24, 28, 21, 28, 24, 31″ group4values=”37, 27, 35, 24, 24, 24, 12, 10, 28, 19, 26, 19, 54, 24, 17, 13, 19, 12, 12, 18, 35, 11, 15, 18, 17, 22, 7, 32, 11, 19, 16″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Valor por Unidade Vendida – R$ Milhares” groupnames=”VLR UNIT GERAL, VLR UNIT 1 DORM, VLR UNIT 2 DORM, VLR UNIT 3 DORM, VLR UNIT 4 DORM” valuenames=” mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13, mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14, ago14, wp_14″ group1values=”577.01, 441.50, 502.67, 505.41, 503.07, 523.23, 366.00, 476.87, 580.18, 555.05, 478.65, 454.33, 779.39, 501.66, 541.76, 616.14, 512.48, 448.12, 446.53, 518.38, 727.37, 486.38, 470.09, 494.80, 554.98, 613.51, 650.10, 429.87, 407.62, 471.96, 462.03″ group2values=”400.97, 434.95, 486.91, 396.98, 437.03, 386.18, 349.00, 336.84, 446.41, 478.59, 309.65, 456.65, 470.82, 413.86, 438.15, 479.04, 410.51, 362.85, 345.25, 420.68, 539.13, 416.14, 519.59, 486.49, 459.03, 485.89, 636.84, 439.92, 393.98, 385.21, 318.19″ group3values=”357.79, 291.72, 285.96, 367.24, 346.34, 394.10, 287.67, 398.56, 357.76, 403.85, 314.75, 318.15, 400.20, 334.40, 406.95, 492.07, 380.38, 347.85, 349.151, 385.75, 385.59, 366.06, 291.83, 295.70, 408.49, 478.35, 559.89, 245.38, 306.13, 349.45, 356.65″ group4values=”540.27, 443.84, 529.61, 532.44, 525.22, 551.80, 454.34, 567.95, 634.85, 561.53, 588.17, 557.77, 571.12, 579.40, 746.80, 745.79, 676.49, 554.95, 648.41, 677.08, 690.23, 627.78, 561.21, 655.03, 636.99, 640.90, 658.25, 534.71, 582.67, 584.60, 596.84″ group5values=”1471.33, 1278.60, 1664.21, 1362.65, 1421.67, 1561.84, 1344.71, 1657.89, 1488.46, 2106.16, 1901.78, 1664.35, 1821.33, 1698.81, 1369.30, 1727.07, 1452.25, 1684.21, 1623.16, 1588.80, 2273.23, 1841.03, 1897.37, 1749.02, 1839.08, 1646.86, 1535.48, 1047.53, 1183.58, 1374.59, 1267.25″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Valor por Unidade Vendida – R$ Milhares – Atualizado pelo INCC ” groupnames=”VLR UNIT GERAL, VLR UNIT 1 DORM, VLR UNIT 2 DORM, VLR UNIT 3 DORM, VLR UNIT 4 DORM” valuenames=”2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”583.28, 561.64, 525.25, 513.28, 493.86, 448.51, 517.95, 555.22, 558.02, 588.00, 495.29″ group2values=”286.72, 311.60, 208.98, 270.50, 279.92, 333.40, 415.88, 460.52, 477.18, 445.38, 418.21″ group3values=”321.62, 257.79, 235.43, 227.07, 222.84, 243.37, 352.76, 401.93, 380.55, 395.04, 365.83″ group4values=”438.60, 435.56, 428.36, 401.13, 422.20, 390.68, 493.53, 589.69, 600.84, 675.84, 604.06″ group5values=”1270.02, 1152.32, 1058.15, 993.62, 975.41, 1012.45, 1088.06, 1350.62, 1689.73, 1885.76, 1336.94″]
[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Porcentagem de Velocidade de Vendas – Anual” groupnames=” Porcentagem VSO Geral, Porcentagem VSO 1 Dorm, Porcentagem VSO 2 Dorm, Porcentagem VSO 3 Dorm, Porcentagem VSO 4 Dorm ” valuenames=”2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014″ group1values=”8.80, 12.06, 16.24, 13.79, 17.61, 23.22, 14.13, 11.04, 13.32, 7.61″ group2values=”3.35, 9.29, 6.11, 8.42, 19.03, 39.89, 20.32, 9.28, 17.78, 6.60″ group3values=”8.60, 11.79, 24.40, 22.23, 35.81, 35.50, 17.33, 13.37, 13.74, 9.53″ group4values=”9.00, 11.88, 14.80, 14.38, 16.96, 19.43, 11.60, 10.09, 11.07, 6.36″ group5values=”10.83, 13.80, 12.97, 9.23, 8.72, 16.61, 8.65, 7.11, 7.96, 5.34″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP-Capital – Porcentagem de Velocidade de Vendas – Mensal” groupnames=”Porcentagem VSO Geral, Porcentagem VSO 1 Dorm, Porcentagem VSO 2 Dorm, Porcentagem VSO 3 Dorm, Porcentagem VSO 4 Dorm” valuenames=”mar12, abr12, mai12, jun12, jul12, ago12, wp_12, out12, nov12, dez12, jan13, fev13, mar13, abr13, mai13, jun13, jul13, ago13, wp_13, out13, nov13, dez13, jan14, fev14, mar14, abr14, mai14, jun14, jul14, ago14, wp_14″ group1values=”11.00, 10.20, 13.70, 9.90, 9.10, 9.90, 17.70, 10.20, 12.80, 12.50, 4.00, 8.70, 17.80, 16.00, 16.00, 18.30, 9.00, 17.70, 15.60, 11.40, 12.90, 12.40, 5.20, 5.00, 8.20, 9.80, 9.40, 8.30, 4.40, 7.00, 11.20″ group2values=”6.60, 3.50, 3.50, 10.30, 10.50, 5.60, 17.00, 6.90, 17.30, 23.30, 3.70, 8.40, 19.60, 16.20, 21.60, 30.50, 17.10, 24.10, 26.30, 18.40, 8.40, 19.00, 3.30, 1.70, 8.80, 13.80, 1.20, 7.20, 3.70, 10.20, 9.50″ group3values=”12.00, 12.50, 19.20, 11.70, 10.20, 13.90, 25.50, 14.70, 11.20, 10.00, 5.20, 12.20, 12.20, 19.70, 18.50, 15.10, 8.70, 19.20, 17.30, 13.00, 12.80, 12.00, 6.70, 7.30, 9.20, 9.20, 16.80, 10.00, 6.10, 7.10, 13.40″ group4values=”10.90, 11.00, 12.30, 8.80, 8.20, 8.00, 11.90, 9.70, 12.40, 11.40, 3.30, 5.80, 14.10, 13.10, 11.40, 18.70, 5.80, 16.40, 11.00, 7.40, 15.50, 10.30, 5.80, 5.40, 8.00, 8.40, 7.40, 4.90, 2.90, 4.90, 9.50″ group5values=”13.00, 8.10, 11.30, 6.60, 6.00, 6.70, 5.20, 2.20, 11.50, 5.10, 2.10, 3.70, 28.60, 9.50, 8.60, 7.10, 4.70, 5.00, 4.20, 5.40, 13.00, 3.60, 1.80, 2.40, 3.70, 7.00, 2.80, 13.20, 2.20, 5.90, 9.10″]

[easychart type=”line” height=”500″ width=”1500″ title=” SP- Capital – Locação Aptos – Valor por M² – R$” groupnames=”BAIRROS MAIS CAROS – wp_ 2014″ valuenames=”Vila Olímpia, Itaim, Vila Nova Conceição, Brooklin Novo, Moema, Pinheiros, Jardins, Alto B. Vista, Campo Belo, Perdizes, Alto Pinheiros, V.Mariana, Higienopolis, Centro, Alphaville, Morumbi ” group1values=”61.00, 61.00, 59.00, 53.00, 46.00, 42.00, 42.00, 41.00, 39.00, 39.00, 39.00, 38.00, 33.00, 33.00, 31.00″]

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

[easychart type=”line” height=”500″ width=”1500″ title=”Valor por m2 – R$” groupnames=”VALOR POR METRO QUADRADO JAN-ABRIL2013″ valuenames=” São Paulo, Rio de Janeiro, Salvador, Brasilia, Fortaleza, Belo Horizonte, Manaus, Curitiba, Recife, Porto Alegre ” group1values=”8905, 7800, 5909, 11081, 5408, 6552, 4186, 7792, 6667, 6034″]

 

[easychart type=”line” height=”500″ width=”1500″ title=”Valor por m2 – R$” groupnames=”VALOR POR METRO QUADRADO JAN-ABRIL2013″ valuenames=” Goiânia, Guarulhos, Campinas, São Luís, Maceió, Duque de Caxias, Teresina, Natal, Nova Iguaçu ” group1values=”4063, 4384, 5714, 3261, 3519, 2500, 4750, 4138, 4375″]

 

[easychart type=”line” height=”500″ width=”1500″ title=”Valor por m2 – R$” groupnames=”VALOR POR METRO QUADRADO JAN-ABRIL2013″ valuenames=” Campo Grande, São Bernardo do Campo, Santo André, Osasco, Jab. Guararapes, São José dos Campos, Ribeirão Preto, Sorocaba, Aracaju ” group1values=”1595, 5000, 3659, 6667, 3882, 5000, 1818, 3729, 4340″]

 

[easychart type=”line” height=”500″ width=”1500″ title=”CIDADES MAIS POPULOSAS DO BRASIL” groupnames=”VALOR POR METRO QUADRADO JAN-ABRIL2013″ valuenames=” Cuiabá, Joinville, Londrina, Niterói, Campos Goytacazes, Ap. Goiania, Caxias do Sul, Porto Velho, Florianopolis, Santos, Mauá, JUNDIAÍ ” group1values=”5000, 3333, 3621, 7021, 1369, 3125, 4000, 3333, 7586, 5696, 4000, 5000″]

 

 

 

 Painel Imobiliário Jundiaí – Exclusivo para Clientes

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