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Tag Archives: data source

What’s the difference between consumption and production CO2 emissions?

The Our World in Data article How do CO2 emissions compare when adjusted for trade by Hannah Ritchie (10/7/2019) answers the question.

To calculate consumption-based emissions we need to track which goods are traded across the world, and whenever a good was imported we need to include all CO2 emissions that were emitted in the production of that good, and vice versa to subtract all CO2 emissions that were emitted in the production of goods that were exported.

Consumption-based emissions reflect the consumption and lifestyle choices of a country’s citizens.

The map copied here show consumption CO2 emissions per capita. As some countries consume more than they produce this this may be a more accurate way to compare CO2 emissions.

We see that the consumption-based emissions of the US are higher than production: In 2016 the two values were 5.7 billion versus 5.3 billion tonnes – a difference of 8%. This tells us that more CO2 is emitted in the production of the goods that Americans import than in those products Americans export.

The opposite is true for China: its consumption-based emissions are 14% lower than its production-based emissions. On a per capita basis, the respective measures are 6.9 and 6.2 tonnes per person in 2016. A difference, but smaller than what many expect.

The article has seven charts with data including time series data.

How hot was September 2019?

From the NOAA Global Climate Report – September 2019:

The average global land and ocean surface temperature for September 2019 was 0.95°C (1.71°F) above the 20th century average and tied 2015 as the highest September temperature departure from average since global records began in 1880.

The Northern Hemisphere, as a whole, also had its warmest September on record at +1.24°C (2.23°F) above the 20th century average, surpassing the previous record set in 2016 by +0.03°C (+0.05°F). The five warmest Northern Hemisphere land and ocean surface temperature have occurred since 2015.

So far for 2019:

Each of the first nine months of the year had a global land and ocean temperature departure from average that ranked among the five warmest for their respective months. This gave way to the second warmest January–September in the 140-year record at 0.94°C (1.69°F) above the 20th century average.

Global time series data for September.

Northern Hemisphere time series data for September.


What 5 states had the highest mortality rates?

The CDC data brief, Mortality Patterns Between Five States with Highest Death Rates and Five States with Lowest Death Rates: United States, 2017 by Jiaquan Xu, M.D. (9/5/2019), provides the  graph here of death rates by age (pay attention to the log scale on the x-axis). The five states with the lowest age-adjusted death rates: California, Connecticut, Hawaii, Minnesota, and New York. The highest: Alabama, Kentucky, Mississippi, Oklahoma, and West Virginia.  By gender:

Among males, the average death rate for the states with the highest rates (1,094.3) was 48% higher than that for the states with the lowest rates (741.2).

Among females, the average death rate for the states with the highest rates (785.7) was 49% higher than that for the states with the lowest rates (526.4).

For Hispanics:

The rate for Hispanic persons was 27% lower (374.6 compared with 509.7) for the states with highest rates than for the states with the lowest rates.

There are four graph each with links to the data.

Which country is most responsible for atmospheric CO2?

The our world in data post, Who has contributed most to global CO2 emissions? by Hannah Ritchie (10/1/2019) provides this chart of cumulative CO2 emissions from 1751 to 2017 by region and country.

Since 1751 the world has emitted over 1.5 trillion tonnes of CO2.1 To reach our climate goal of limiting average temperature rise to 2°C, the world needs to urgently reduce emissions. One common argument is that those countries which have added most to the CO2 in our atmosphere – contributing most to the problem today – should take on the greatest responsibility in tackling it.

The article has three other interactive graph, with data, to explore CO2 emissions by country over time, although none of them consider per capita emissions.

How much energy will we use in the future?

The EIA article EIA projects nearly 50% increase in world energy usage by 2050, led by growth in Asia by ARi Kahan (9/24/2019) provides regional energy consumption projections by decade through 2050.  The report includes six other graphs including sources of energy.

With the rapid growth of electricity generation, renewables—including solar, wind, and hydroelectric power—are the fastest-growing energy source between 2018 and 2050, surpassing petroleum and other liquids to become the most used energy source in the Reference case. Worldwide renewable energy consumption increases by 3.1% per year between 2018 and 2050, compared with 0.6% annual growth in petroleum and other liquids, 0.4% growth in coal, and 1.1% annual growth in natural gas consumption.

The eia projects that even with the rapid growth of renewables they will only make up 28% of energy production. There are links to the data.

What is in the Income and Poverty 2018 report?

The U.S. Census Bureau report Income and Poverty in the United States: 2018 by Jessica Semega, Melissa Kollar, John Creamer, and Abinash Mohanty (9/10/19) is now available.  A few highlights can be found in the post Pay is Up. Poverty is Down. How Women are Making Strides  by Jessica Semega (9/10/19). For example, the graph copied here is poverty rates for  2917 and 2018 for men, women, and by race for women. In terms of households:

Median incomes of married-couple households and those with male householders did not change from 2017.

In 2018, the poverty rate for families with a female householder was 24.9%, higher than that for married-couple families (4.7%) and families with a male householder (12.7%).

However, the poverty rate for families with a female householder declined from the previous year, at 26.2% in 2017.

The full report contains 20 pages of charts and summaries related to income and poverty by numerous categories. The other 50 or so pages are data tables that are also available in excel files (see links on right sidebar of the report page).  There is ample data here for use in courses.

Where does NY state rank on energy consumption?

The eia Beta site allows users to choose a state to obtain energy information for that state.  When selecting a state users get data about energy consumption and production, along with other facts.

New York generates about one-third of its electricity from nuclear power plants, and the state includes nuclear power as a zero emissions resource that counts toward New York’s 2040 emissions reduction goals.

New York is the fifth-largest consumer of petroleum among the states, but, in part because almost three-tenths of state residents use public transit to commute to work (more than five times the U.S. average), New Yorkers consume less petroleum per capita than residents of any other state in the nation.

There is a tab for rankings. The graph copied here ranks states based on energy consumption per person. Only one other state, Rhode Island, has a lower energy consumption per capita than NY. Louisiana tops the ranking.

Is there a country where women smoke more than men?

The Our World in Data page Smoking by max Roser and Hannah Ritchie has 19 graph, with data, related to smoking. In general, men smoke more than women except in Nauru (see graph copied here).

Every 5th adult in the world smokes tobacco. But there are large differences between men and women.

More than one-third (35%) of men in the world smoke. Just over 6% of women do. Here is the data for men; here for women.

We see that almost all countries lie above the grey line, meaning a higher share of men smoke. But there are a few exceptions: in the Pacific island-state of Nauru 43% of women smoke compared to 37% of men; and smoking rates in Denmark and Sweden show almost no sex difference.

How different is weekly pay of women and men by race?

The BLS report, Highlights of women’s earning in 2017 has four charts with data about women’s earnings and occupation.  The chart copied her compares men and women by race.

Asian women and men earned more than their White, Black, and Hispanic counterparts in 2017. Among women, Whites ($795) earned 88 percent as much as Asians ($903); Blacks ($657) earned 73 percent; and Hispanics ($603) earned 67 percent. Among men, these earnings differences were even larger: White men ($971) earned 80 percent as much as Asian men ($1,207); Black men ($710) earned 59 percent as much; and Hispanic men ($690), 57 percent. (See chart 3 and table 1.)


The earnings comparisons in this report are on a broad level and do not control for many factors that can be important in explaining earnings differences, such as job skills and responsibilities, work experience, and specialization.

The BLS is an excellent source for data.