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metro</metro><civilian_laborforce>1337790</civilian_laborforce><employment>1293947</employment><unemployment>43843</unemployment><unemployment_rate>3.3</unemployment_rate><stem_workers_workforce>5.2</stem_workers_workforce><med_hrly_wage_stock_movers>13</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>16.11</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>39.2</med_hrly_wage_computer_analysts></row><row _id="row-xye7.trg5-p5dt" _uuid="00000000-0000-0000-EFF1-F9E275B81D4A" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-xye7.trg5-p5dt"><metro>Philadelphia metro</metro><civilian_laborforce>3082420</civilian_laborforce><employment>2952865</employment><unemployment>129555</unemployment><unemployment_rate>4.2</unemployment_rate><stem_workers_workforce>7.2</stem_workers_workforce><med_hrly_wage_stock_movers>14</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>18.72</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>47.7</med_hrly_wage_computer_analysts></row><row _id="row-22rd~xnma_quat" _uuid="00000000-0000-0000-5263-5B55BDF1D129" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-22rd~xnma_quat"><metro>Phoenix metro</metro><civilian_laborforce>2407741</civilian_laborforce><employment>2306482</employment><unemployment>101259</unemployment><unemployment_rate>4.2</unemployment_rate><stem_workers_workforce>6.9</stem_workers_workforce><med_hrly_wage_stock_movers>13.67</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>17.18</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>42.78</med_hrly_wage_computer_analysts></row><row _id="row-i8e3~jat9_g9fg" _uuid="00000000-0000-0000-3400-0AE865D01C8B" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-i8e3~jat9_g9fg"><metro>Pittsburgh metro</metro><civilian_laborforce>1203535</civilian_laborforce><employment>1152301</employment><unemployment>51234</unemployment><unemployment_rate>4.3</unemployment_rate><stem_workers_workforce>7.2</stem_workers_workforce><med_hrly_wage_stock_movers>14.22</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>16.96</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>41.65</med_hrly_wage_computer_analysts></row><row _id="row-259k-e6cu_aifq" _uuid="00000000-0000-0000-C490-2CC593ECB1C9" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-259k-e6cu_aifq"><metro>Portland, OR metro</metro><civilian_laborforce>1313058</civilian_laborforce><employment>1261999</employment><unemployment>51059</unemployment><unemployment_rate>3.9</unemployment_rate><stem_workers_workforce>8.6</stem_workers_workforce><med_hrly_wage_stock_movers>14.51</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>19.45</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>43.65</med_hrly_wage_computer_analysts></row><row _id="row-9idd~88qh_cmqd" _uuid="00000000-0000-0000-89B4-B3AF51D4EEF3" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-9idd~88qh_cmqd"><metro>Providence metro</metro><civilian_laborforce>690290</civilian_laborforce><employment>662151</employment><unemployment>28139</unemployment><unemployment_rate>4.1</unemployment_rate><stem_workers_workforce>5.3</stem_workers_workforce><med_hrly_wage_stock_movers>13.26</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>20.16</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>46.56</med_hrly_wage_computer_analysts></row><row _id="row-nspw_6b33-zaw5" _uuid="00000000-0000-0000-FD32-8BC67433696A" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-nspw_6b33-zaw5"><metro>Raleigh metro</metro><civilian_laborforce>711326</civilian_laborforce><employment>687064</employment><unemployment>24262</unemployment><unemployment_rate>3.4</unemployment_rate><stem_workers_workforce>11.5</stem_workers_workforce><med_hrly_wage_stock_movers>12.63</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>17.88</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>43.76</med_hrly_wage_computer_analysts></row><row _id="row-62sp~zp9k.bpq9" _uuid="00000000-0000-0000-5364-34FAE7CB2357" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-62sp~zp9k.bpq9"><metro>Richmond, VA metro</metro><civilian_laborforce>675649</civilian_laborforce><employment>654321</employment><unemployment>21328</unemployment><unemployment_rate>3.2</unemployment_rate><stem_workers_workforce>6.4</stem_workers_workforce><med_hrly_wage_stock_movers>12.32</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>18.15</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>46.62</med_hrly_wage_computer_analysts></row><row _id="row-eri3.9kkr.yicp" _uuid="00000000-0000-0000-66EC-003095F24EB7" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-eri3.9kkr.yicp"><metro>Riverside-San Bernardino metro</metro><civilian_laborforce>2053401</civilian_laborforce><employment>1966814</employment><unemployment>86587</unemployment><unemployment_rate>4.2</unemployment_rate><stem_workers_workforce>2.9</stem_workers_workforce><med_hrly_wage_stock_movers>14.14</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>18.62</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>39.76</med_hrly_wage_computer_analysts></row><row _id="row-ws37-q7yj.mxem" _uuid="00000000-0000-0000-4ADE-E2BFDCC4CF64" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-ws37-q7yj.mxem"><metro>Sacramento metro</metro><civilian_laborforce>1095762</civilian_laborforce><employment>1055145</employment><unemployment>40617</unemployment><unemployment_rate>3.7</unemployment_rate><stem_workers_workforce>7.1</stem_workers_workforce><med_hrly_wage_stock_movers>13.87</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>18.78</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>41.63</med_hrly_wage_computer_analysts></row><row _id="row-jm96.bkkt_jwdf" _uuid="00000000-0000-0000-C75E-37F51A08BB7B" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-jm96.bkkt_jwdf"><metro>Salt Lake City metro</metro><civilian_laborforce>653521</civilian_laborforce><employment>633609</employment><unemployment>19912</unemployment><unemployment_rate>3</unemployment_rate><stem_workers_workforce>8.1</stem_workers_workforce><med_hrly_wage_stock_movers>13.84</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>16.95</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>36.94</med_hrly_wage_computer_analysts></row><row _id="row-gjx2_by6m_v35p" _uuid="00000000-0000-0000-E6A9-3638BC458E03" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-gjx2_by6m_v35p"><metro>San Antonio metro</metro><civilian_laborforce>1189664</civilian_laborforce><employment>1150333</employment><unemployment>39331</unemployment><unemployment_rate>3.3</unemployment_rate><stem_workers_workforce>5</stem_workers_workforce><med_hrly_wage_stock_movers>12.96</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>16.5</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>40.55</med_hrly_wage_computer_analysts></row><row _id="row-v22j.nsts_xyaf" _uuid="00000000-0000-0000-96FE-2CCC5CC0A01A" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-v22j.nsts_xyaf"><metro>San Diego metro</metro><civilian_laborforce>1592193</civilian_laborforce><employment>1539530</employment><unemployment>52663</unemployment><unemployment_rate>3.3</unemployment_rate><stem_workers_workforce>9.2</stem_workers_workforce><med_hrly_wage_stock_movers>13.59</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>19.7</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>44.77</med_hrly_wage_computer_analysts></row><row _id="row-vqa8_a2fm.3gkp" _uuid="00000000-0000-0000-DB63-C80259803B95" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-vqa8_a2fm.3gkp"><metro>San Francisco metro</metro><civilian_laborforce>2584337</civilian_laborforce><employment>2514184</employment><unemployment>70153</unemployment><unemployment_rate>2.7</unemployment_rate><stem_workers_workforce>11.2</stem_workers_workforce><med_hrly_wage_stock_movers>16.11</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>23.14</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>55.72</med_hrly_wage_computer_analysts></row><row _id="row-689r-wpfz_ic3t" _uuid="00000000-0000-0000-24E9-0EC874CE3A39" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-689r-wpfz_ic3t"><metro>San Jose metro</metro><civilian_laborforce>1079672</civilian_laborforce><employment>1050829</employment><unemployment>28843</unemployment><unemployment_rate>2.7</unemployment_rate><stem_workers_workforce>21</stem_workers_workforce><med_hrly_wage_stock_movers>17.05</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>22.63</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>57.14</med_hrly_wage_computer_analysts></row><row _id="row-xkwu~343b~tz57" _uuid="00000000-0000-0000-4135-5E2A1B00AFE1" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-xkwu~343b~tz57"><metro>Seattle metro</metro><civilian_laborforce>2113294</civilian_laborforce><employment>2031699</employment><unemployment>81595</unemployment><unemployment_rate>3.9</unemployment_rate><stem_workers_workforce>11.6</stem_workers_workforce><med_hrly_wage_stock_movers>16.28</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>21.79</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>47.62</med_hrly_wage_computer_analysts></row><row _id="row-5yv7.fh8q_p54z" _uuid="00000000-0000-0000-F17D-50F79C2C1FB0" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-5yv7.fh8q_p54z"><metro>St. Louis metro</metro><civilian_laborforce>1459244</civilian_laborforce><employment>1409294</employment><unemployment>49950</unemployment><unemployment_rate>3.4</unemployment_rate><stem_workers_workforce>6.4</stem_workers_workforce><med_hrly_wage_stock_movers>14.86</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>17.75</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>43.22</med_hrly_wage_computer_analysts></row><row _id="row-cnb6-5g9s~khmu" _uuid="00000000-0000-0000-B85A-F6B8EA5C5422" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-cnb6-5g9s~khmu"><metro>Tampa-St. Petersburg metro</metro><civilian_laborforce>1530842</civilian_laborforce><employment>1477702</employment><unemployment>53140</unemployment><unemployment_rate>3.5</unemployment_rate><stem_workers_workforce>5.7</stem_workers_workforce><med_hrly_wage_stock_movers>12.55</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>16.43</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>40.43</med_hrly_wage_computer_analysts></row><row _id="row-itmu.ce9r_5e8j" _uuid="00000000-0000-0000-C416-2A5C8DCB4016" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-itmu.ce9r_5e8j"><metro>Virginia Beach-Norfolk metro</metro><civilian_laborforce>849658</civilian_laborforce><employment>821973</employment><unemployment>27685</unemployment><unemployment_rate>3.3</unemployment_rate><stem_workers_workforce>6.8</stem_workers_workforce><med_hrly_wage_stock_movers>12.63</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>17.38</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>39.14</med_hrly_wage_computer_analysts></row><row _id="row-zgg5~dg3k_ujps" _uuid="00000000-0000-0000-6EA5-A2DAB2836079" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-zgg5~dg3k_ujps"><metro>Washington, DC metro</metro><civilian_laborforce>3393091</civilian_laborforce><employment>3280957</employment><unemployment>112134</unemployment><unemployment_rate>3.3</unemployment_rate><stem_workers_workforce>11.8</stem_workers_workforce><med_hrly_wage_stock_movers>13.44</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>21.54</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>49.06</med_hrly_wage_computer_analysts></row><row _id="row-pexj_88rp-hm7a" _uuid="00000000-0000-0000-002A-37CABA6A08CE" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-pexj_88rp-hm7a"><metro>Source</metro><civilian_laborforce>U.S. Bureau of Labor Statistics</civilian_laborforce><employment>U.S. Bureau of Labor Statistics</employment><unemployment>U.S. Bureau of Labor Statistics</unemployment><unemployment_rate>U.S. Bureau of Labor Statistics</unemployment_rate><stem_workers_workforce>U.S. Bureau of Labor Statistics</stem_workers_workforce><med_hrly_wage_stock_movers>U.S. Bureau of Labor Statistics</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>U.S. Bureau of Labor Statistics</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>U.S. Bureau of Labor Statistics</med_hrly_wage_computer_analysts></row><row _id="row-phau-r4ep.mktp" _uuid="00000000-0000-0000-F4A1-702E74881876" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-phau-r4ep.mktp"><metro>Date of Data</metro><civilian_laborforce>Date of Data: 2018</civilian_laborforce><employment>Date of Data: 2018</employment><unemployment>Date of Data: 2018</unemployment><unemployment_rate>Date of Data: 2018</unemployment_rate><stem_workers_workforce>Date of Data: May 2018</stem_workers_workforce><med_hrly_wage_stock_movers>Date of Data: May 2018</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>Date of Data: May 2018</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>Date of Data: May 2018</med_hrly_wage_computer_analysts></row><row _id="row-cusx~if34.m7w4" _uuid="00000000-0000-0000-7C05-72CEB9C7DA0A" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-cusx~if34.m7w4"><metro>Note</metro><med_hrly_wage_stock_movers>SOC Code 53-7062, Freight, Stock and Material Movers.</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>SOC Code 43-6014, Secretaries, Except Legal, Medical, and Executive.</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>SOC Code 15-1121, Computer Systems Analysts.</med_hrly_wage_computer_analysts></row><row _id="row-v9p7-itmg~c4jg" _uuid="00000000-0000-0000-746C-D3290A468031" _position="0" _address="https://opendata.maryland.gov/resource/_6s7m-7deg/row-v9p7-itmg~c4jg"><metro>Quote</metro><civilian_laborforce>"Baltimore and Washington metros offer diverse, skilled labor pools."</civilian_laborforce><employment>"The Baltimore and Washington metros combined comprise the largest employment center in the Mid-Atlantic or Southeast U.S."</employment><unemployment>"Unemployment in the Baltimore and Washington metros has decreased each year since 2010."</unemployment><unemployment_rate>"Unemployment in the Baltimore and Washington metros has decreased each year since 2010."</unemployment_rate><stem_workers_workforce>"Washington DC is 2nd and Baltimore 11th among the top 50 metros for percentage of workers in STEM occupations."</stem_workers_workforce><med_hrly_wage_stock_movers>"Wages in the Baltimore metro area are competitive with other major East and West Coast cities."</med_hrly_wage_stock_movers><med_hrly_wage_secretaries>"Wages in the Baltimore metro area are competitive with other major East and West Coast cities."</med_hrly_wage_secretaries><med_hrly_wage_computer_analysts>"Wages in the Baltimore metro area are competitive with other major East and West Coast cities."</med_hrly_wage_computer_analysts></row></row></response>