Table 2 Bivariate Moran’s I statistic for POI-CBG network for income groups.

From: Human activity and mobility data reveal disparities in exposure risk reduction indicators among socially vulnerable populations during COVID-19 for five U.S. metropolitan cities

City

Jan 27–Feb 2

Apr 6–12

Jun 15–21

Moran’s I

H–H

L–L

Moran’s I

H–H

L–L

Moran’s I

H–H

L–L

Income groups

Chicago

0.091

176

109

0.343

478

469

0.132

234

347

Houston

0.212

167

124

0.283

173

198

0.035

108

143

Los Angeles

0.046

213

172

0.235

476

589

0.003

262

316

New York City

0.039

192

154

0.238

414

541

0.289

375

698

Seattle

0.076

47

41

0.285

171

172

0.099

141

88

White and non-white groups

Chicago

0.126

150

156

0.341

445

547

0.125

186

428

Houston

0.141

116

124

0.077

93

199

− 0.087

59

169

Los Angeles

0.018

179

189

0.118

365

619

− 0.200

180

399

New York City

0.033

158

178

0.225

422

584

0.178

286

758

Seattle

0.021

27

45

0.156

138

160

0.078

105

130

  1. The Bivariate Moran’s I statistic was calculated for the five urban locations for the median income groups and the percentage of white and non-white groups. Jan 27–Feb 2 represents a time period before the stay-at-home policy; Apr 6–12 represents a time period after stay-at-home policy and Jun 15–21 represents a time period following weeks after the stay-at-home policy. H–H represents the number of high–high clusters and L–L represents the number of low–low clusters; both of the number of observed clusters were statistically significant of at least p-values < 0.05.