Save Google Community Mobility Reports: Workplaces

Google Community Mobility Reports are created with aggregated, anonymized sets of data from users who have turned on the Location History setting.

The data shows how visitors to (or time spent in) categorized places change compared to our baseline days. A baseline day represents a normal value for that day of the week. The baseline day is the median value from the 5‑week period Jan 3 – Feb 6, 2020.

The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Save Google Community Mobility Reports: Transit Stations

Google Community Mobility Reports are created with aggregated, anonymized sets of data from users who have turned on the Location History setting.

The data shows how visitors to (or time spent in) categorized places change compared to our baseline days. A baseline day represents a normal value for that day of the week. The baseline day is the median value from the 5‑week period Jan 3 – Feb 6, 2020.

The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Save Google Community Mobility Reports: Residential

Google Community Mobility Reports are created with aggregated, anonymized sets of data from users who have turned on the Location History setting.

The data shows how visitors to (or time spent in) categorized places change compared to our baseline days. A baseline day represents a normal value for that day of the week. The baseline day is the median value from the 5‑week period Jan 3 – Feb 6, 2020.

The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Save Global Flight Tracking

The number of daily flights is calculated by Flightradar counting the number of flights on the website.

Commercial flights: Commercial passenger flights + cargo flights + charter flights + some business jet flights.
Total flights: Commercial flights above + rest of business jet flights + private flights + gliders + most helicopter flights + most ambulance flights + government flights + some military flights + drones

Save US TSA Checkpoint Travel Numbers

This chart shows the headcount of travelers everyday at the US borders and the changes in the number of travelers since the pandemic hit.

Save US & EU Oxford COVID-19 Government Response Stringency Index

The Oxford COVID-19 Government Response Stringency Index is gathered by the University of Oxford, composed of 9 subindices:

1. School closing
2. Workplace closing
3. Cancel public events
4. Restrictions on gatherings
5. Close public transport
6. Stay at home requirements
7. Restrictions on internal movement
8. International travel controls
9. Public info campaigns

The reading = The average score of 9 subindices * 100%
The higher the reading is, the more strict the government measures are. A decrease in stringency suggests certain degree of loosening of restrictions.

Save APAC Oxford COVID-19 Government Response Stringency Index

The Oxford COVID-19 Government Response Stringency Index is gathered by the University of Oxford, composed of 9 subindices:

1. School closing
2. Workplace closing
3. Cancel public events
4. Restrictions on gatherings
5. Close public transport
6. Stay at home requirements
7. Restrictions on internal movement
8. International travel controls
9. Public info campaigns

The reading = The average score of 9 subindices * 100%
The higher the reading is, the more strict the government measures are. A decrease in stringency suggests certain degree of loosening of restrictions.

Save ASEAN Oxford COVID-19 Government Response Stringency Index

The Oxford COVID-19 Government Response Stringency Index is gathered by the University of Oxford, composed of 9 subindices:

1. School closing
2. Workplace closing
3. Cancel public events
4. Restrictions on gatherings
5. Close public transport
6. Stay at home requirements
7. Restrictions on internal movement
8. International travel controls
9. Public info campaigns

The reading = The average score of 9 subindices * 100%
The higher the reading is, the more strict the government measures are. A decrease in stringency suggests certain degree of loosening of restrictions.

Save China-Global & Shanghai Export Container Freight Index

First released in 1998 by Shanghai Shipping Exchange, CCFI is based on the freight rate and volume of 12 routes around the world, reflecting changes in freight rate. Departing ports include ports of Dalian, Tianjin, Qingdao, Shanghai, Nanjing, Ningbo, Xiamen, Fuzhou, Shenzhen and Guangzhou.

Save US Economic Policy Uncertainty Index

The primary measure for this index is the number of articles that contain at least one term from each of 3 sets of terms. The first set is economic or economy. The second is uncertain or uncertainty. The third set is legislation or deficit or regulation or congress or federal reserve or white house.

Save 美國-股票市場波動追蹤指數

Save Global - Citi Surprise Index

花旗經濟驚奇指數為統計各項經濟數據與市場預期的差值，並加總所得。若該指數大於零，則代表整體經濟表現普遍優於預期，反之亦然。一般當景氣迅速好轉時，花旗經濟驚奇指數快速上揚；而景氣轉差時，指數則迅速跌落至零軸以下。

Save Global - Citi Earnings Revision Index

花旗盈利修正指數計算方式為「上調 EPS 的公司比例（%）」−「下調 EPS 的公司比例（%）」（與上週相比）。該指數位於零軸之上時，代表平均而言分析師對於企業盈利展望持樂觀態度，反之則表示相對而言分析師持較悲觀看法。

Save US, Europe, Japan - Citi Earnings Revision Index

花旗盈利修正指數計算方式為「上調 EPS 的公司比例（%）」−「下調 EPS 的公司比例（%）」（與上週相比）。該指數位於零軸之上時，代表平均而言分析師對於企業盈利展望持樂觀態度，反之則表示相對而言分析師持較悲觀看法。