Summary

This collection of data includes the following indicators, dates, and sources:
unemployment rate, 2010-2060, OECD
white collar jobs growth, 1900-2000, AFL-CIO
occupations with most job growth (by number and percent), 2014/2024, BLS
occupations with the largest job declines (by number and percent), 2014/2024, BLS

In addition to these datasets, I’ve noted a couple jobs projections by futurist Thomas Frey, and a study estimating the impacts of future technology on jobs in the next couple decades.

Findings

Unemployment Rate

Src:
Knoema

Citing:
OECD. May 2014.
OECD Long Term Baseline
[data below]

*

NAIRU unemployment rate with non-accelerating inflation rate, 2010-2060

Src:
OECD. May 2014.
“Economic Outlook No 95: Long-term baseline projections”
Variable: NAIRU unemployment rate with non-accelerating inflation rate
Country: United States

***

White Collar Jobs Growth

White collar occupations as a percent of total US Workforce

Src:
Marc Cenedella. January 2010.
“Great News! We’ve Become A White-Collar Nation.”
Business Insider.

Citing:
AFL-CIO. 2003.
“Current Statistics on White Collar Employees.”

***

Fastest Growing and Declining Occupations

Table 1.4 Occupations with the most job growth (raw numbers), 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.4 Occupations with the most job growth, 2014 and projected 2024
(Numbers in thousands).”
Employment Projections.

Table 1.4 Occupations with the most job growth (percent increase), 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.4 Occupations with the most job growth, 2014 and projected 2024
(Numbers in thousands).”
Employment Projections.

Table 1.6 Occupations with the largest job declines (raw numbers), 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.6 Occupations with the largest job declines, 2014 and projected 2024”
(Numbers in thousands).
Employment Projections.

Table 1.5 Fastest declining occupations, 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.5 Fastest declining occupations (percent), 2014 and projected 2024
(Numbers in thousands).”
Employment Projections.

***

General Predictions

“162 Future Jobs: Preparing for Jobs that Don’t Yet Exist.”
Thomas Frey. March 2014.

*

“101 Endangered Jobs by 2030.”
Thomas Frey. November 2014.

*

“The Future Of Employment: How Susceptible Are Jobs To Computerisation?”
Carl Benedikt Frey and Michael A. Osborne. September 2013.
Oxford University.

Abstract:
We examine how susceptible jobs are to computerisation. To assess this, we begin by implementing a novel methodology to estimate the probability of computerisation for 702 detailed occupations, using a Gaussian process classifier. Based on these estimates, we examine expected impacts of future computerisation on US labour market outcomes, with the primary objective of analysing the number of jobs at risk and the relationship between an occupation’s probability of computerisation, wages and educational attainment. According to our estimates, about 47 percent of total US employment is at risk. We further provide evidence that wages and educational attainment exhibit a strong negative relationship with an occupation’s probability of computerisation.

Summary

This collection of data includes the following indicators, dates, and sources:
unemployment rate, 2010-2060, OECD
white collar jobs growth, 1900-2000, AFL-CIO
occupations with most job growth (by number and percent), 2014/2024, BLS
occupations with the largest job declines (by number and percent), 2014/2024, BLS

In addition to these datasets, I’ve noted a couple jobs projections by futurist Thomas Frey, and a study estimating the impacts of future technology on jobs in the next couple decades.

Findings

Unemployment Rate

Src:
Knoema

Citing:
OECD. May 2014.
OECD Long Term Baseline
[data below]

*

NAIRU unemployment rate with non-accelerating inflation rate, 2010-2060

Src:
OECD. May 2014.
“Economic Outlook No 95: Long-term baseline projections”
Variable: NAIRU unemployment rate with non-accelerating inflation rate
Country: United States

***

White Collar Jobs Growth

White collar occupations as a percent of total US Workforce

Src:
Marc Cenedella. January 2010.
“Great News! We’ve Become A White-Collar Nation.”
Business Insider.

Citing:
AFL-CIO. 2003.
“Current Statistics on White Collar Employees.”

***

Fastest Growing and Declining Occupations

Table 1.4 Occupations with the most job growth (raw numbers), 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.4 Occupations with the most job growth, 2014 and projected 2024
(Numbers in thousands).”
Employment Projections.

Table 1.4 Occupations with the most job growth (percent increase), 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.4 Occupations with the most job growth, 2014 and projected 2024
(Numbers in thousands).”
Employment Projections.

Table 1.6 Occupations with the largest job declines (raw numbers), 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.6 Occupations with the largest job declines, 2014 and projected 2024”
(Numbers in thousands).
Employment Projections.

Table 1.5 Fastest declining occupations, 2014 and projected 2024
(Numbers in thousands)

Src:
Bureau of Labor Statistics. April 2016.
“Table 1.5 Fastest declining occupations (percent), 2014 and projected 2024
(Numbers in thousands).”
Employment Projections.

***

General Predictions

“162 Future Jobs: Preparing for Jobs that Don’t Yet Exist.”
Thomas Frey. March 2014.

*

“101 Endangered Jobs by 2030.”
Thomas Frey. November 2014.

*

“The Future Of Employment: How Susceptible Are Jobs To Computerisation?”
Carl Benedikt Frey and Michael A. Osborne. September 2013.
Oxford University.

Abstract:
We examine how susceptible jobs are to computerisation. To assess this, we begin by implementing a novel methodology to estimate the probability of computerisation for 702 detailed occupations, using a Gaussian process classifier. Based on these estimates, we examine expected impacts of future computerisation on US labour market outcomes, with the primary objective of analysing the number of jobs at risk and the relationship between an occupation’s probability of computerisation, wages and educational attainment. According to our estimates, about 47 percent of total US employment is at risk. We further provide evidence that wages and educational attainment exhibit a strong negative relationship with an occupation’s probability of computerisation.

Occupations was originally published on Extrapolations