Accessible Version
The Effects of COVID-19, as Reported by Local Communities, Accessible Data
Figure 1. Share of respondents by entity type
Nonprofits consistently the largest share of respondents
Share of Responses
| Survey round | Financial institution | Government | Nonprofit | Private industry | Other |
|---|---|---|---|---|---|
| April | 5% | 14% | 64% | 9% | 7% |
| June | 9% | 14% | 46% | 27% | 4% |
| August | 13% | 15% | 58% | 10% | 4% |
| October | 13% | 16% | 54% | 13% | 3% |
Note: Key identifies bars in order from left to right.
Figure 2. Share of respondents by type of communities served
Distribution of communities served in October substantially different than other surveys
Share of Responses
| Survey round | Rural | Suburban, Rural | Suburban | Urban, Rural | Urban, Suburban, Rural | Urban, Suburban | Urban |
|---|---|---|---|---|---|---|---|
| April | 26% | 4% | 8% | 4% | 20% | 11% | 27% |
| June | 21% | 4% | 11% | 3% | 17% | 13% | 30% |
| August | 28% | 4% | 9% | 4% | 17% | 8% | 31% |
| October | 19% | 6% | 4% | 5% | 42% | 11% | 13% |
Note: Key identifies bars in order from left to right.
Figure 3. Respondent entity type by type of communities served
Respondent entity type by type of community served over the four surveys
Share of Responses
| Type of communities served and survey round | Other | Financial institution | Private industry | Government | Nonprofit |
|---|---|---|---|---|---|
| Rural - April | 7% | 6% | 7% | 17% | 62% |
| Rural - June | 4% | 16% | 14% | 20% | 45% |
| Rural - August | 3% | 16% | 7% | 18% | 56% |
| Rural - October | 3% | 16% | 11% | 20% | 50% |
| Suburban - April | 6% | 6% | 17% | 20% | 51% |
| Suburban - June | 6% | 6% | 40% | 13% | 36% |
| Suburban - August | 3% | 19% | 22% | 17% | 39% |
| Suburban - October | 3% | 5% | 15% | 31% | 46% |
| Urban - April | 8% | 3% | 8% | 14% | 67% |
| Urban - June | 4% | 5% | 26% | 13% | 52% |
| Urban - August | 4% | 9% | 12% | 15% | 60% |
| Urban - October | 3% | 6% | 17% | 10% | 64% |
| Urban, Suburban, Rural - April | 9% | 5% | 8% | 13% | 66% |
| Urban, Suburban, Rural - June | 6% | 7% | 29% | 16% | 44% |
| Urban, Suburban, Rural - August | 4% | 13% | 8% | 15% | 59% |
| Urban, Suburban, Rural - October | 4% | 15% | 12% | 15% | 54% |
Note: Colors in key correspond with each bar segment, in order from top to bottom.
Figure 4. Reported level of economic disruption to the communities served by respondents
Reported levels of economic disruption remain high
| Survey round | No disruption | Minimal disruption | Some disruption, but manageable | Significant disruption, quick recovery | Significant disruption, difficult recovery | Unknown |
|---|---|---|---|---|---|---|
| April | 0% | 0% | 7% | 22% | 69% | 2% |
| June | 0% | 2% | 16% | 21% | 60% | 1% |
| August | 0% | 2% | 15% | 17% | 65% | 1% |
| October | 0% | 1% | 19% | 19% | 59% | 0% |
Note: Key identifies bars in order from left to right.
Figure 5. Level of economic disruption by type of entity
Nonprofits most likely to report significant disruption, financial institutions least likely
Share of Responses
| Type of entity and survey round | No or minimal disruption | Some disruption, but manageable | Significant disruption | Unknown |
|---|---|---|---|---|
| Financial institution - April | 1% | 12% | 85% | 2% |
| Financial institution - June | 4% | 31% | 64% | 0% |
| Financial institution - August | 5% | 32% | 62% | 0% |
| Financial institution - October | 6% | 31% | 63% | 0% |
| Government - April | 0% | 8% | 90% | 2% |
| Government - June | 2% | 15% | 81% | 1% |
| Government - August | 2% | 19% | 79% | 0% |
| Government - October | 1% | 25% | 73% | 1% |
| Nonprofit - April | 1% | 6% | 92% | 2% |
| Nonprofit - June | 1% | 10% | 88% | 1% |
| Nonprofit - August | 1% | 11% | 87% | 1% |
| Nonprofit - October | 1% | 14% | 84% | 1% |
| Private industry - April | 0% | 8% | 90% | 2% |
| Private industry - June | 4% | 21% | 75% | 1% |
| Private industry - August | 5% | 14% | 80% | 1% |
| Private industry - October | 3% | 20% | 77% | 1% |
* Note: For the October survey, the differences between the following pairs of entity types were statistically significant at the .05 level using a chi-square test: government vs nonprofits; and financial institutions vs nonprofits.
Note: Colors in key correspond with each bar segment, in order from top to bottom.
Figure 6. Level of economic disruption by type of communities served
Urban respondents most likely to report significant effects; rural respondents least likely
Share of Responses
| Type of communities served and survey round | Unknown | Significant disruption | Some disruption, but manageable | No or minimal disruption |
|---|---|---|---|---|
| Rural - April | 2% | 88% | 10% | 1% |
| Rural - June | 0% | 78% | 19% | 2% |
| Rural - August | 1% | 71% | 25% | 3% |
| Rural - October | 0% | 62% | 34% | 4% |
| Suburban - April | 3% | 88% | 8% | 1% |
| Suburban - June | 3% | 75% | 18% | 4% |
| Suburban - August | 1% | 72% | 22% | 6% |
| Suburban - October | 0% | 72% | 26% | 3% |
| Urban - April | 1% | 93% | 6% | 0% |
| Urban - June | 1% | 87% | 11% | 2% |
| Urban - August | 1% | 89% | 10% | 1% |
| Urban - October | 0% | 90% | 10% | 0% |
| Urban, Suburban, Rural - April | 2% | 93% | 5% | 0% |
| Urban, Suburban, Rural - June | 1% | 82% | 15% | 3% |
| Urban, Suburban, Rural - August | 0% | 88% | 11% | 1% |
| Urban, Suburban, Rural - October | 0% | 82% | 16% | 1% |
* Note: For the October survey, the differences between the following pairs of community types were statistically significant at the .05 level using a chi-square test: suburban vs urban; rural vs rural, suburban, and urban; and rural vs urban.
Note: Colors in key correspond witheach bar segment, in order from top to bottom.
Figure 7. Top reported impacts to the communities served by respondents
Job losses and business impacts are the top reported impacts
Share of Respondents
| Survey round | Income loss / job loss | Business impacts | Education | Basic consumer needs | Health | Other |
|---|---|---|---|---|---|---|
| June | 42% | 32% | 7% | 7% | 5% | 7% |
| August | 38% | 25% | 13% | 8% | 6% | 10% |
| October | 39% | 28% | 13% | 9% | 5% | 7% |
Note: Key identifies bars in order from left to right.
Figure 8. Changes in top community impacts between surveys
Over the past eight weeks, community impacts in this area have…
Share of Responses
| Impact area and survey round | Unknown / No answer | Gotten better | Not changed | Gotten worse |
|---|---|---|---|---|
| Income loss / job loss - June | 1% | 17% | 13% | 69% |
| Income loss / job loss - August | 1% | 19% | 15% | 64% |
| Income loss / job loss - October | 2% | 23% | 19% | 56% |
| Business impacts - June | 3% | 22% | 11% | 64% |
| Business impacts - August | 4% | 22% | 13% | 61% |
| Business impacts - October | 5% | 26% | 18% | 51% |
| Education - June | 4% | 7% | 36% | 53% |
| Education - August | 7% | 7% | 22% | 65% |
| Education - October | 5% | 19% | 18% | 58% |
| Basic consumer needs - June | 3% | 21% | 26% | 50% |
| Basic consumer needs - August | 3% | 18% | 29% | 51% |
| Basic consumer needs - October | 3% | 22% | 31% | 44% |
| Health - June | 3% | 19% | 36% | 42% |
| Health - August | 4% | 17% | 29% | 50% |
| Health - October | 5% | 18% | 31% | 45% |
| Private financial supports - June | 4% | 17% | 40% | 39% |
| Private financial supports - August | 11% | 15% | 35% | 38% |
| Private financial supports - October | 13% | 14% | 35% | 38% |
| Public financial supports - June | 3% | 24% | 30% | 42% |
| Public financial supports - August | 5% | 19% | 27% | 49% |
| Public financial supports - October | 7% | 16% | 29% | 47% |
Note: Colors in key correspond witheach bar segment, in order from top to bottom.
Figure 9. Recovery expectations across survey periods
Expectations for a quick recovery have steadily diminished
Share of Respondents
| Survey round | Less than three months | Between three and six months | Between seven and nine months | Between ten and twelve months | More than twelve months | Unknown |
|---|---|---|---|---|---|---|
| April | 2% | 15% | 16% | 19% | 35% | 14% |
| June | 2% | 10% | 12% | 20% | 46% | 10% |
| August | 1% | 5% | 10% | 19% | 56% | 10% |
| October | 1% | 5% | 11% | 19% | 55% | 9% |
Note: Key identifies bars in order from left to right.
Figure 10. Recovery expectations by type of communities served
Rural respondents expect quickest recovery, urban respondents expect slowest
Share of Responses
| Type of communities served and survey round | Less than six months | Between six and twelve months | More than twelve months | Unknown |
|---|---|---|---|---|
| Rural - April | 18% | 35% | 33% | 14% |
| Rural - June | 15% | 33% | 41% | 10% |
| Rural - August | 8% | 32% | 48% | 12% |
| Rural - October | 9% | 39% | 41% | 11% |
| Suburban - April | 21% | 45% | 24% | 10% |
| Suburban - June | 18% | 35% | 37% | 10% |
| Suburban - August | 9% | 24% | 63% | 4% |
| Suburban - October | 8% | 41% | 46% | 5% |
| Urban - April | 15% | 32% | 39% | 14% |
| Urban - June | 10% | 29% | 51% | 10% |
| Urban - August | 4% | 28% | 57% | 11% |
| Urban - October | 1% | 26% | 66% | 6% |
| Urban, Suburban, Rural - April | 14% | 32% | 37% | 16% |
| Urban, Suburban, Rural - June | 11% | 30% | 51% | 8% |
| Urban, Suburban, Rural - August | 3% | 26% | 61% | 10% |
| Urban, Suburban, Rural - October | 6% | 30% | 56% | 9% |
* Note: For the October survey, the differences between the following pairs of community types were statistically significant at the .05 level using a chi-square test: rural vs rural, suburban, and urban; and rural vs urban.
Note: Colors in key correspond with each bar segment, in order from top to bottom.
Figure 11. Recovery expectations by type of entity
Financial institutions expect quickest recovery, nonprofits and private businesses expect slowest
Share of Responses
| Type of entity and survey round | Less than six months | Between six and twelve months | More than twelve months | Unknown |
|---|---|---|---|---|
| Financial institution - April | 24% | 32% | 33% | 10% |
| Financial institution - June | 24% | 36% | 34% | 6% |
| Financial institution - August | 10% | 33% | 50% | 7% |
| Financial institution - October | 13% | 34% | 46% | 6% |
| Government - April | 16% | 35% | 37% | 12% |
| Government - June | 10% | 31% | 50% | 9% |
| Government - August | 5% | 31% | 54% | 10% |
| Government - October | 5% | 38% | 48% | 9% |
| Nonprofit - April | 15% | 35% | 34% | 15% |
| Nonprofit - June | 8% | 30% | 53% | 9% |
| Nonprofit - August | 3% | 28% | 59% | 9% |
| Nonprofit - October | 5% | 28% | 58% | 9% |
| Private industry - April | 22% | 36% | 33% | 10% |
| Private industry - June | 17% | 34% | 37% | 12% |
| Private industry - August | 13% | 24% | 53% | 11% |
| Private industry - October | 5% | 27% | 63% | 5% |
* Note: For the October survey, the differences between the following pairs of entity types were statistically significant at the .05 level using a chi-square test: financial institutions vs government; financial institutions vs nonprofits; and financial institutions vs private businesses.
Note: Colors in key correspond with each bar segment, in order from top to bottom.