A graph of Internet Users (per 100 people) and Income per Person (GDP per Capita, inflation adjusted).
It’s interesting that there is a general positive correlation, but the richer countries that do not fit the model are located in the Middle East. This could be due to culture, but also suggests inequalities in wealth. As GDP per Capita is an average figure, there are extremes of wealth, still giving it a high figure. This means that the relatively few with wealth can afford infrastructure such as the Internet, while the majority cannot.
My graph shows the % of people working in the primary employment sector compared with GDP per capita (ppp0.
it is obvious that as a countries GDP per capita increases it becomes less reliant on agriculture for its income and so the employment structure shifts into the secondary & tertiary, leaving less people in the primary sector.
Some data for India & China is missing though.
Monkey Geography
December 12, 2009 at 8:02 am
http://graphs.gapminder.org/world/#$majorMode=chart$is;shi=t;ly=2003;lb=f;il=t;fs=11;al=30;stl=t;st=t;nsl=t;se=t$wst;tts=C$ts;sp=2;ti=2006$zpv;v=1$inc_x;mmid=XCOORDS;iid=phAwcNAVuyj1jiMAkmq1iMg;by=ind$inc_y;mmid=YCOORDS;iid=phAwcNAVuyj0xiDjWaypQTg;by=ind$inc_s;uniValue=8.21;iid=pyj6tScZqmEfJfS1WYrLeBA;by=ind$inc_c;uniValue=255;gid=CATID0;by=grp$map_x;scale=log;dataMin=1493;dataMax=124600$map_y;scale=lin;dataMin=0;dataMax=91$map_s;sma=49;smi=2.65$cd;bd=0$inds=
A graph of Internet Users (per 100 people) and Income per Person (GDP per Capita, inflation adjusted).
It’s interesting that there is a general positive correlation, but the richer countries that do not fit the model are located in the Middle East. This could be due to culture, but also suggests inequalities in wealth. As GDP per Capita is an average figure, there are extremes of wealth, still giving it a high figure. This means that the relatively few with wealth can afford infrastructure such as the Internet, while the majority cannot.
December 12, 2009 at 10:34 am
http://graphs.gapminder.org/world/#$majorMode=chart$is;shi=t;ly=2003;lb=f;il=t;fs=11;al=100;stl=t;st=t;nsl=t;se=t$wst;tts=C$ts;sp=6;ti=2007$zpv;v=0$inc_x;mmid=XCOORDS;iid=phAwcNAVuyj1jiMAkmq1iMg;by=ind$inc_y;mmid=YCOORDS;iid=rzFD5mOuB5mR7-vLoP04LAQ;by=ind$inc_s;uniValue=8.21;iid=phAwcNAVuyj0XOoBL_n5tAQ;by=ind$inc_c;uniValue=255;gid=CATID0;by=grp$map_x;scale=log;dataMin=269;dataMax=119849$map_y;scale=lin;dataMin=0;dataMax=90$map_s;sma=49;smi=2.65$cd;bd=0$inds=
My graph shows the % of people working in the primary employment sector compared with GDP per capita (ppp0.
it is obvious that as a countries GDP per capita increases it becomes less reliant on agriculture for its income and so the employment structure shifts into the secondary & tertiary, leaving less people in the primary sector.
Some data for India & China is missing though.