===============================================================================

DATA BASE:	NDP-058A (2-1998)

TITLE:		Carbon Dioxide Emission Estimates from Fossil-Fuel Burning,
		Hydraulic Cement Production, and Gas Flaring for 1995 on a 
		One Degree Grid Cell Basis.

PREPARED BY:	Antoinette L. Brenkert
                Carbon Dioxide Information Analysis Center
                Oak Ridge National Laboratory
                Oak Ridge, Tennessee 37831-6335

============================================================================== 

The data base contains:
	
	(A)	Documentation on the 1995 gridded carbon dioxide (CO2) 
		emission data (in units of 1000 metric tons C per year per 
		one degree latitude by one degree longitude grid cell). 
	(B)	Detailed data file description. 
	(C)	FORTRAN program to read the gridded CO2 emission data file.
	(D)	SAS code to read the gridded CO2 emission data file.
	(E)	Simple summary statistics.
	(F)	CDIAC's quality assurance checks.
	(G) 	Instructions on how to obtain the data and documentation.
	(H)	References.

==============================================================================

(A) 	Documentation

	Analogous to the data presented in NDP-058 (which includes estimates 
	for 1950, 1960, 1970, 1980, and 1990; Andres et al., 1996b), this
	document presents the summed emissions from fossil-fuel burning, 
	hydraulic cement production and gas flaring for 1995.  National CO2 
	emission estimates derived from the 1995 United Nations Energy 
	Statistics Database (U.N., 1997), hydraulic cement production estimates
	compiled by the U.S. Department of Interior's Bureau of Mines (USDO, 
	1995), and supplemental data on gas flaring obtained from the U.S. 
	Department of Energy's Energy Information Administration were processed
	by Marland et al. (1997) following the methods of Marland and Rotty 
	(1984). The only change in the methodology used to calculate the 
	national CO2 emission estimates for 1995 was the implementation of 
	separate carbon coefficients for soft and hard coal; the emissions 
	estimates in NDP058 were calculated using a single carbon coefficient 
	to characterize the carbon content of all coals. 

	To distribute the national emission estimates from 1995 within each 
	country, the population data base developed by Li (1996a) and 
	documented by CDIAC (DB1016: Li, 1996b) was used as proxy.  Previously,
	Andres et al. (1996a) had used a 1984 human population data set 
	(Goddard Institute of Space Studies, Lerner et al., 1988) as proxy for
	gridding the 1950 through 1990 emission estimates within countries.
	The structure of the gridded 1995 emission data file differs, 
	consequently, from the 1950-1990 gridded emission files (CDIAC: 
	NDP-058) in that individual grid cells may have been partitioned 
	into more than one country analogous to Li's population data base.  
	A country's representation in a grid cell is quantified by the 
	percentage of that country's land area in a particular grid cell and 
	identified by its United Nations identification code.  The percentages 
	and United Nations identification codes were used to allocate the 
	national CO2 emissions estimates to the grid cells.  Only those grid 
	cells with a United Nations identification code, population estimate 
	and carbon emission estimate are listed in the data file.  Grid cells 
	representing more than one country are repeated for each country 
	represented.  Note that to calculate national estimates from the data 
	file, one has to sum by United Nations identification code.  To 
	calculate emissions for each grid cell or by latitude one has to sum 
	by grid cell (latitude and longitude), or by latitude, respectively.
	
	A number of manipulations of Li's population data base were necessary 
	to properly distribute the national 1995 CO2 emssion estimates.  When
	CO2 emission estimates were available for locations not represented
	in Li's population data base (DB1016) we added those locations and 
	calculated the representation (percentage) of the added country as
	grid cell information   The following seven sections summarize the
	changes:

	1) Li's alphanumeric dentification codes were converted to numeric 
	codes, and to United Nations codes where possible:
		C04 to 904 Canary-Islands
		B03 to 903 Jersey
		B02 to 902 Gaza-Strip
		B01 to 901 Guernsey
		B10 to 910 Israeli-occ-ter.
		C11 to 911 St.-Martin
		C16 to   0 Ocean
		C07 to 579 Jan-Mayen, to add to Norway
		B07 to 654 St.-Helena  

	2) A number of Li's identification codes were changed to match the 
	energy statistics UN codes:
		250 to 251: France, to include Monaco
		380 to 382: Italy, to include San Marino
		578 to 579: Jan-Mayen, to be included with Norway
		744 to 579: Svalbard, to be include in Norway 
		414 to 415: Kuwait, to include part of the Neutral Zone
		682 to 684: Saudi Arabia, to include part of the Neutral Zone
		886 to 887: Yemen (UN code 886) and 
		720 to 887: Democratic Yemen (UN code 720) merged on 22 May, 
			1990 to form a single state (UN code 887);
		756 to 757: Liechtenstein, to join Switzerland 
			(percentages had to be adjusted)
		583 to 316: for Guam
		584 to 582: for Carolina, Mariana, and Marshall Islands, but 
			excluding Guam
		585 to 582: for Carolina, Mariana, and Marshall Islands, but 
			excluding Guam
		580 to 582: for Carolina, Mariana, and Marshall Islands, but 
			excluding Guam

	3) A number of locations and UN identificarion codes were added:
		659 added: St-Kitts, 1 gridcell
			(lat=17.5 and long=-62.5; perc=100) 
		570 added: Niue, 2 grid cells 
			(lat=-18.5 and long=-169.5, 
			 lat=-19.5 and long=-169.5; perc=50)
		462 added: Maldives, 3 grid cells 
			(lat=2.5 and long=73.5,     
   			 lat=3.5 and long=73.5, 
   			 lat=4.5 and long=73.5; perc=33.3)
		184 added: Cook Island, 5 grid cells 
			(lat=-19.5 and long=-159.5,
			 lat=-19.5 and long=-158.5,
 			 lat=-19.5 and long=-157.5,
 			 lat=-18.5 and long=-162.5,
 			 lat=-18.5 and long=-159.5; perc=20)
		016 added: Ammerican Samoa, 1 grid cell 
			(lat=-14.5 and long=-171.5; perc=100)
		666 added: St Pierre, 1 grid cell
			(lat=45.5 and long=-55.5; perc=100)
		872 added: Wake island, 1 grid cell 
			(lat=18.5 and long=166.5; perc=100)
		520 added: Nauru, 1 grid cell 
			(lat=-0.5 and long=167.5; perc=100)

	4) Czechoslovakia (formerly with UN-id 200) was split and 
		percentages adjusted:
		203: Czech Republic for cells west 17 of degrees E and north of
			49 degrees N at 17.5 degrees E (perc=100.*perc/59.643).
		703: Slovakia for cells east of 18 E and south of 49 degrees N
			at 17.5 degrees E (perc=100.*perc/40.355).

	5) The Socialist Federal Republic of Yugoslavia (formerly with 
		UN-id 890) was split and percentages adjusted:
		70: Bosnia (perc=perc*100/15.169)
		 	long=16.5 and lat=44.5
 			long=17.5 and lat le 44.5 and lat ge 43.5 
 			long=18.5 and lat le 44.5 and lat ge 43.5 
 			long=19.5 and lat=43.5 
 			long=19.5 and lat=44.5 
		807: Macedonia (perc=perc*100/9.461)
 			long ge 21.5 and lat le 41.5 
 			long=22.5 and lat=42.5 
		705: Slovenia (perc=perc*100/8.088)
  			long le 14.5 and lat ge 44.5 
  			long=15.5 and lat=46.5 
		191: Croatia (perc=perc*100/17.023)
 			long=14.5 and lat= 44.5  
 			long=15.5 and lat le 45.5 
 			long=16.5 and lat ge 45.5 
 			long=16.5 and lat= 43.5 
 			long=17.5 and lat=42.5  
 			long=17.5 and lat ge 45.5 
 			long=18.5 and lat= 45.5  
 			long=18.5 and lat=45.5  
		891: Yugoslavia (perc=perc*100/50.262)
 			long=18.5 and lat=42.5  
 			long=19.5 and lat=41.5  
 			long=19.5 and lat=42.5  
 			long=19.5 and lat=45.5  
 			long=19.5 and lat=46.5  
 			long=20.5 
 			long=21.5 and lat=42.5  
 			long ge 21.5 and lat ge 43.5  

	(6) A number of population percentages were adjusted slightly in order
	to complete the distribution of all national CO2 estimates (i.e., so 
	that the sum of all grid cells equals more closely the sum of the 
	national totals) (note that only the first four adjustment caused 
	signicant improvement in the national fossil-fuel estimates):
		Country				Adjustment factor
		Russian Federation (3307 cells):100/99.8969 
                United States (1310 cells):	100/99.9478  
		China (1075 cells):		100/99.9673
		Brazil (799 cells):		100/99.9885 
		Australia (790 cells): 		100/99.9687
		India (356 cells):		100/99.9841
		Kazakhstan (404 cells):		100/99.9850
		Mexico (243 cells):		100/99.9863
 		Iran (195 cells): 		100/99.9868
		Indonesia (316 cells):		100/99.9871
		Canada (2086 cells):		100/99.9972

	(7) Antarctic and ocean cells were deleted.

===============================================================================

(B)	Detailed data file (ff95.dat) description  

	Parameter columns
	lat	  1-6		
	long	  8-13 
	ff95 	  16-23
	popli	  26-35 	
	perc 	  38-46
	unid 	  48-50
	name	  53-72

where:

lat and long indicate the center point of a grid cell in decimal degrees.

ff95 is the 1995 grid cell CO2 emission estimate from fossil-fuel burning,
	cement production, and gas flaring expressed in thousand metric tons 
	carbon.

popli is Li's (1996b) population estimate for a grid cell for a specific 
	country.  

perc is the percentage of the national population of a country represented in
	a grid cell.

unid is the United Nations identification code.

name is the name of the country as identified by Li (1996b).


Note: the data can easily be retrieved into spreadsheet software, given that
the data are arranged in space delimited columns.

===============================================================================

(C)	FORTRAN program to read the gridded CO2 emission data file.

       Program readff95
c double precision to avoid round-off errors
       real*8 lat,long,popli,ff95,percr,spop,sff95,sperc
       character*20 name
       open(10,file='ff95.dat',status='old')
c prepare for summations:
       spop=0.d0
       sff95=0.d0
       sperc=0.d0
       do 100 i=1,19969
          read(10,10,end=911)lat,long,ff95,popli,perc,unid,name
10     format(f6.1,x,f6.1,2x,f8.2,2x,e10.0,2x,f8.4,2x,f3.1,2x,a20)
          write(12,10)lat,long,ff95,popli,perc,unid,name
          spop=spop+popli
          sperc=sperc+perc
          sff95=sff95+ff95
100   continue
911   continue
      i=i-1
c write summations to screen:
      write(*,*)'spop=',spop
      write(*,*) 'sperc=',sperc
      write(*,*) 'sff95=',sff95
      write(*,*) 'lines read=',i
      stop
      end

Result:
 spop=   5291059610.00000     
 sperc=   22099.6375999998     
 sff95=   6172868.54000011     
 lines read=       19969

===============================================================================

(D)	SAS code to read the gridded CO2 emission data file.

	data fin;
	infile 'ff95.dat';
	input  @1 lat 6.1 @8 long 6.1 @16 ff95 8.2  @26 popli 10. 
	@38 perc 8.4 @48 unid 3. @53 name $char20.;
	proc sort; 
	by unid;
	proc means noprint; 
	by unid;
	var perc ff95 popli;
	id name;
	output out=sums sum=sperc sff95 spop;
	data sums; 
	set sums;
	file 'out';
	put @10 unid 3. @15 name $char20. @37 _freq_ 4. @43 sff95 8.1 
	@53 sperc 8.4 @64 spop 10.;

The file 'out' is printed as section (E) 

===============================================================================

(E)	Summary statistics concerning the data file:

       UN-id  name                  # of  National     total        total
				   cells  emission    summed   population
					 estimates percentage   estimates
					  for 1995             (Li, 1996b)

           4  Afghanistan             92     338.7   99.9977     16556000
           8  Albania                  8     503.8   99.9970      3250001
          12  Algeria                251   24907.5   99.9952     24960006
          16  American-Samoa           1      74.5  100.0000            0
          20  Andorra                  1       0.0  100.0000        55300
          24  Angola                 131    1255.5   99.9985      9194019
         660  Anguilla                 2       0.0  100.0000         6900
          28  Antigua-and-Barbuda      1      87.9  100.0000        65000
          32  Argentina              345   35330.6   99.9900     32321997
          51  Armenia                 15     996.3  100.0000      3373239
         533  Aruba                    3     491.5  100.0000        61000
          36  Australia              790   79096.7   99.9943     17065026
          40  Austria                 22   16180.2  100.0078      7712003
          31  Azerbaijan              21   11619.7   99.9970      7138480
          44  Bahamas                 13     466.1  100.0038       255000
          48  Bahrain                  2    4047.8  100.0010       503000
          50  Bangladesh              27    5713.1   99.9960    113684002
          52  Barbados                 2     224.7  100.0000       257000
         112  Belarus                 46   16184.4   99.9961     10197931
          56  Belgium                 12   28333.9  100.0000      9934999
          84  Belize                   7     113.0  100.0040       189000
         204  Benin                   18     173.1  100.0004      4621998
          60  Bermuda                  1     123.9  100.0000        61000
          64  Bhutan                  13      65.1   99.9920      1539000
          68  Bolivia                122    2858.9   99.9974      7171003
          70  Bosnia-Herzegovina       7     503.2  100.0000      3608983
          72  Botswana                64     611.9   99.9946      1238001
          76  Brazil                 799   68012.4   99.9942    149041985
          96  Brunei                   2    2246.8  100.0000       257000
         100  Bulgaria                22   15475.5  100.0080      8991000
         854  Burkina                 38     261.2   99.9972      8993000
         108  Burundi                  6      58.1  100.0040      5492001
         116  Cambodia                27     136.4  100.0006      8336002
         120  Cameroon                61    1130.5   99.9955     11523998
         124  Canada                2086  118927.3   99.9972     26646873 
         904  Canary-Islands           4       0.0    0.0000            0
         132  Cape-Verde               2      31.0  100.0000       363000
         136  Cayman-Islands           3      83.7  100.0000        25500
         140  Central-African-Rep.    70      64.5   99.9946      3007998
         148  Chad                   131      25.9  100.0009      5552996
         152  Chile                  135   12036.7   99.9953     13173003
         156  China                 1075  871310.9   99.9965   1130311683
         170  Colombia               130   18428.6   99.9952     32299987
         174  Comoros                  1      18.4  100.0000       543000
         178  Congo                   47     346.3   99.9982      2228998
         184  Cook-Isl.                5       5.9  100.0000            0
         188  Costa-Rica              11    1428.2  100.0000      3034999
         191  Croatia                 10    4643.7  100.0012      4049911
         192  Cuba                    27    7933.5  100.0043     10608001
         196  Cyprus                   5    1413.4  100.0010       702000
         203  Czech-Republic          16   30581.3  100.0016      9341567
         208  Denmark                 16   14976.1  100.0052      5139999
         262  Djibouti                 5     101.3  100.0000       440001
         212  Dominica                 1      21.8  100.0000        72000
         214  Dominican-Republic       8    3212.1  100.0110      7170000
         218  Ecuador                 34    6176.9  100.0014     10547002
         818  Egypt                  117   25020.6   99.9912     52425996
         222  El-Salvador              6    1415.9   99.9970      5172000
         226  Equatorial-Guinea        7      36.0   99.9990       351999
         233  Estonia                 18    4487.8   99.9964      1580040
         230  Ethiopia               130     962.1   99.9930     49830992
         238  Falkland-Islands         7      11.2  100.0000         2000
         234  Faroe-Islands            1     169.1  100.0000        48000
         242  Fiji                     7     200.9  100.0060       731000
         246  Finland                 88   13922.1   99.9929      4986000
         251  France                  90   92813.4   99.9952     56735007
         254  French-Guiana           14     237.8   99.9994        98001
         258  French-Polynesia         2     153.2  100.0000       198000
         266  Gabon                   36     967.2  100.0023      1159001
         270  Gambia                   4      58.6   99.9980       861000
         902  Gaza-Strip               1       0.0  100.0000       624000
         268  Georgia                 20    2113.6  100.0002      5463671
         276  Germany                 64  227924.4  100.0020     79364991
         288  Ghana                   34    1104.4  100.0005     15020001
         292  Gibraltar                1      62.0  100.0000        31047
         300  Greece                  39   20821.4  100.0061     10089000
         304  Greenland              770     137.4   99.9999        55559
         308  Grenada                  1      46.1  100.0000        91000
         312  Guadeloupe               1     416.4  100.0000       390000
         320  Guatemala               18    1961.9   99.9978      9197001
         901  Guernsey                 1       0.0  100.0000        57000
         324  Guinea                  35     294.7   99.9981      5755003
         624  Guinea-Bissau            8      62.8  100.0030       964000
         328  Guyana                  30     254.5   99.9990       796002
         332  Haiti                    7     174.3  100.0050      6486000
         340  Honduras                18    1052.1  100.0092      5137998
         344  Hong-Kong                2    8459.0  100.0000      5705000
         348  Hungary                 20   15249.6   99.9973     10361000
         910  Israeli-occ-terr.       1       0.0  100.0000      1584700
         352  Iceland                 40     492.0   99.9973       254994
         356  India                  356  248016.9   99.9965    846190994
         360  Indonesia              316   80821.2   99.9974    184282991
         364  Iran                   195   71987.3   99.9982     58266982
         368  Iraq                    61   27018.3   99.9955     18079998
         536  Iraq-Saudi-Arabia-N.     5       0.0    0.0000            0
         372  Ireland                 20    8797.5   99.9910      3503001
         376  Israel                   9   12640.8   99.9900      4644999
         382  Italy                   70  111890.8   99.9963     57661000
         384  Ivory-Coast             40    2827.5   99.9955     11980002
         388  Jamaica                  5    2470.5  100.0080      2402999
         392  Japan                   81  307523.8  100.0011    123536998
         903  Jersey                   1       0.0  100.0000        84000
         400  Jordan                  17    3632.0  100.0050      3282000
         398  Kazakhstan             404   60447.5   99.9975     16744198
         404  Kenya                   67    1824.2   99.9980     23584999
         296  Kiribati                 2       5.9  100.0000        71000
         415  Kuwait                   6   13297.5  100.0020      2143000
         417  Kyrgyzstan              42    1490.8  100.0035      4412880
         418  Laos                    38      84.4  100.0046      4202002
         428  Latvia                  21    2542.9   99.9957      2682306
         422  Lebanon                  4    3641.3   99.9980      2740000
         426  Lesotho                  8       0.0  100.0000      1747001
         430  Liberia                 17      87.1  100.0004      2574999
         434  Libya                  173   10753.4   99.9944      4545007
         440  Lithuania               21    4043.0   99.9997      3727035
         442  Luxembourg               3    2527.9  100.0000       414000
         446  Macau                    1     335.7  100.0000       463000
         807  Macedonia                4    2934.3  100.0000      2250871
         450  Madagascar              72     306.5  100.0030     12009996
         454  Malawi                  21     197.8  100.0080      9581999
         458  Malaysia                52   29095.7  100.0033     17891003
         462  Maldives                 3      50.2   99.9000            0
         466  Mali                   138     126.7   99.9943      9214001
         470  Malta                    1     470.9  100.0000       354000
         474  Martinique               2     556.4  100.0000       361000
         478  Mauritania             114     837.3  100.0000      2024001
         480  Mauritius                1     407.0  100.0000      1075000
         175  Mayotte                  1       0.0  100.0000        94300
         484  Mexico                 243   97662.1   99.9977     84486010
         316  Micronesia               3    1128.6  100.0000       111000
         498  Moldova                 14    2951.9  100.0015      4366792
         492  Monaco                   1       0.0  100.0000        29800
         496  Mongolia               234    2308.0   99.9951      2189973
         500  Montserrat               1      11.7  100.0000        12400
         504  Morocco                 60    7994.7   99.9951     25061003
         508  Mozambique             101     270.8   99.9999     14200010
         104  Myanmar                 91    1919.5   99.9956     41825003
         516  Namibia                 94       0.0   99.9968      1438997
         520  Nauru                    1      37.7  100.0000            0
         524  Nepal                   28     417.5   99.9890     19570999
         528  Netherlands             14   37089.8   99.9920     14944000
         530  Netherlands-Antilles     2    1761.6  100.0000       175000
         540  New-Caledonia            9     468.0  100.0030       168001
         554  New-Zealand             60    7489.0   99.9998      3329998
         558  Nicaragua               20     737.5  100.0033      3675999
         562  Niger                  130     305.1   99.9930      7730998
         566  Nigeria                100   24757.4   99.9937    108541998
         570  Niue                     2       0.8  100.0000            0
         408  North-Korea             27   70138.3   99.9997     21771002
         579  Norway                 153   19774.1   99.9991      4242011
         512  Oman                    45    3116.5   99.9980      1524000
         586  Pakistan               115   23294.5   99.9943    118121999
         582  Palau-Islands            6      65.3  100.0000        15100
         591  Panama                  15    1882.4  100.0006      2418001
         598  Papua-New-Guinea        70     677.5   99.9945      3875001
         600  Paraguay                53    1036.2  100.0020      4277001
         604  Peru                   145    8340.4   99.9946     21549997
         608  Philippines             69   16690.5   99.9940     62437000
         612  Pitcairn                 1       0.0  100.0000           61
         616  Poland                  57   92258.2   99.9974     38118994
         620  Portugal                16   14172.0   99.9990      9868001
         630  Puerto-Rico              4    4239.9  100.0080      3530000
         634  Qatar                    5    7920.6  100.0030       427001
         638  Reunion                  2     424.5  100.0000       604000
         642  Romania                 44   33050.0  100.0014     23207000
         643  Russian-Federation    3307  496181.9   99.9922    148546837
         646  Rwanda                   5     133.6  100.0000      7027001
         674  San-Marino               1       0.0    0.0000            0
         678  Sao-Tome                 2      20.9  100.0000       119000
         684  Saudi-Arabia           211   69389.0   99.9960     14870010
         686  Senegal                 28     836.4  100.0078      7326997
         690  Seychelles               1      44.4  100.0000        71000
         694  Sierra-Leone            12     120.6  100.0000      4150998
         702  Singapore                1   17377.1  100.0000      2710000
         703  Slovakia                15   10381.1   99.9971      6319435
         705  Slovenia                 7    3196.1   99.9865      1924022
          90  Solomon-Islands         16      43.5  100.0062       319999
         706  Somalia                 80       3.1  100.0006      8677003
         710  South-Africa           153   83455.7   99.9918     37958996
         410  South-Korea             19  101957.7   99.9951     43377000
         724  Spain                   82   63211.7  100.0019     38958995
         144  Sri-Lanka               12    1606.5   99.9965     17217000
         659  St-Kitts-(81-)           1      26.0  100.0000            0
         666  St-Pierre                1      19.3  100.0000            0
         654  St.-Helena               1       1.7  100.0000         7100
         662  St.-Lucia                3      51.9  100.0000       133000
         911  St.-Martin               1       0.0    0.0000            0
         670  St.-Vincent              1      34.3  100.0000       107000
         736  Sudan                  246     955.0   99.9918     25202978
         740  Suriname                17     587.0   99.9950       422001
         748  Swaziland                6     123.8  100.0000       751000
         752  Sweden                 106   12168.8   99.9930      8565999
         757  Switzerland             13   10603.7   99.9982      6740452 
         760  Syria                   33   12561.5  100.0028     12355001
         762  Tadzhikistan            37    1021.0  100.0028      5359952
         158  Taiwan                   8   47538.4   99.9983     20352966
         834  Tanzania                97     665.8   99.9954     25993015
         764  Thailand                74   47773.0   99.9990     54676995
         768  Togo                    13     203.3   99.9950      3530998
         776  Tonga                    1      28.5  100.0000        96000
         780  Trinidad                 2    4669.5   99.9980      1236000
         788  Tunisia                 28    4178.2   99.9972      8057002
         792  Turkey                 109   45281.6   99.9974     55991002
         795  Turkmenistan            76    7733.0   99.9953      3714270
         796  Turks-Caicos-Isl.       2       0.0  100.0000        12350
         800  Uganda                  33     284.8   99.9991     17560001
         804  Ukraine                107  119594.5   99.9959     51938119
         784  United-Arab-Emirates    17   18643.1  100.0040      1588998
         826  United-Kingdom          58  147956.0   99.9948     57620998
         840  United-States         1310   1407257   99.9946    248769679
         858  Uruguay                 26    1467.9   99.9936      3093999
         860  Uzbekistan              80   26985.7   99.9988     20702528
         548  Vanuatu                  6      16.7   99.9960       149999
         862  Venezuela              106   49190.0   99.9931     19320998
         704  Vietnam                 57    8654.2   99.9990     66687999
          92  Virgin-Islands-(UK)      1      14.2  100.0000        16600
         850  Virgin-Islands-(USA)     1    3121.5  100.0000       107000
         872  Wake-Isl.                1      16.8  100.0000            0
         732  Western-Sahara          35      57.0   99.9960       158000
         882  Western-Samoa            2      36.0  100.0000       160000
         887  Yemen                   55    3932.8   99.9972     11684005
         891  Yugoslovia              18    9015.8   99.9975     11957216
         180  Zaire                  232     572.6   99.9922     37390987
         894  Zambia                  90     655.9   99.9912      8137997
         716  Zimbabwe                47    2656.6   99.9940      9947006


Total # lines in data file:    19969    
Total 1995 CO2 emissions:      6172868.6 (1000 metric tons C)
Total population:              5291059610
Total percentage:              22099.62 (use only to verify data transport)

===============================================================================

(F)	CDIAC's quality assurance checks.	

	1) The population divisions of Czechlovakia and the former Socialist
	Federal Republic of Yugoslavia were checked against the 1995 U.N.
	population statistics provided by the U.N. Statistical Office.
	2) The national populations were checked against values published in 
	DB1016 (Li, 1996b)
	3) The gridded national fossil-fuel emission summations were checked 
	against the values available in NDP-030 (Boden, 1998; Marland et al, 
	1997)) (the largest difference is 8 units for the United Kingdom).
	4) The summed national emissions published in NDP030R8 amounted
	to 6172918 units of 1000 metric tons C.  The summed gridded national 
	estimates presented here amount to 6172869 units of 1000 
	metric tons C.  The total difference of 49 units (due to roundoff) is 
	less than 0.001%.
	5) Latitudinal summations of the gridded emssions were compared with
	previously published gridded data (NDP-058) and a graph produced 
	(lat.gif).

===============================================================================

(G) 	Instructions on how to obtain the data and documentation.

	This data base (NDP-058A) and the related NDP-058 and NDP-030/R8 are
	available free of charge from CDIAC.  The files are available from 
	CDIAC's anonymous FTP (file transfer protocol) area via the Internet. 
	Obtaining the data from CDIAC's anonymous FTP area requires a computer
	with FTP software and access to the Internet.  Commands used to obtain
	the data base are shown below. For additional information, contact 
	CDIAC.

	>ftp cdiac.ornl.gov  or  >ftp 128.219.24.36
	Login: anonymous
	Password: YOU@your internet address
	Guest login ok, access restrictions apply.
	ftp> cd pub/ndp058b/
	ftp> dir
	ftp> mget files
	ftp> quit

	CDIAC's World Wide Web home page's address: http://cdiac.ornl.gov

        For non-FTP data acquisitions (e.g., IBM- or MacIntosh-formatted floppy
	diskettes), users may request data from
	CDIAC using the following information:

Address: Carbon Dioxide Information Analysis Center
         Oak Ridge National Laboratory
         P.O. Box 2008
         Oak Ridge, Tennessee 37831-6335, U.S.A.

Telephone:       (865) 574-3645 (Voice)
                 (865) 574-2232 (Fax)
Electronic mail: cdiac@ornl.gov

===============================================================================

(H)	References:

Andres, R.J., G. Marland, I. Fung, and E. Matthews. 1996a.  A one degree by one
degree distribution of carbon dioxide emissions from fossil-fuel consumption
and cement manufacture, 1950-1990.  Global Biogeochemical Cycles 10:3:419-429.

Andres, R.J., G. Marland, I. Fung, E. Matthews, and A.L. Brenkert. 1996b. 
Geographic patterns of carbon dioxide emissions from fossil-fuel burning, 
hydraulic cement production, and gas flaring on a one degree by one degree 
grid cell basis: 1950 to 1990.  ORNL/CDIAC-97, NDP-058.  Carbon Dioxide
Analysis Center, Oak Ridge, Tennessee.
http://cdiac.esd.ornl.gov/epubs/ndp/ndp058/ndp058.html

U.S. Department of Interior, 1995.  Annual Review, U.S. Geological Survey, 
Gordon P. Eaton, Director. Reston, VA 20192. February, 1997.

Boden, T.A., G. Marland, and R.J. Andres, 1996. Estimates of global, regional,
and national annual CO2 emissions from fossil-fuel burning, hydraulic cement
production, and gas flaring: 1950-1992, Rep. ORNL/CDIAC-90, NDP-030/R6,
600 pp., Oak Ridge Nat. Lab., Oak Ridge, Tenn.
http://cdiac.esd.ornl.gov/ndps/ndp030.html

Lerner, J., E. Matthews and I. Fung, 1988. Methane emissions from animals: A
global high-resolution database.  Global Biochemical Cycles, 2:139-156.

Li., Y.-F., A. McMillan, and M.T. Scholtz. 1996a.  Global HCH usage with 
1 degrees x 1 degrees longitude/latitude resolution.  Environmental Science & 
Technology 30:3525-33.

Li., Y.-F.  1996b. Global Population Distribution (1990), 
Terrestrial Area and Country Name Information on a One by One Degree Grid Cell
Basis. ORNL/CDIAC-96, DB1016, Carbon Dioxide Analysis Center, Oak Ridge, Tenn.
http://cdiac.esd.ornl.gov/ndps/db1016.html

Marland, G., and R.M. Rotty, 1984. Carbon dioxide emissions from fossil-fuels:
A procedure for estimation and results for 1950-1982. Tellus 36(B):232-261.

Marland, G., T.A. Boden, A.L. Brenkert, R.J. Andres, and J.G.J. Olivier. 1997.
CO2 from fossil fuel burning: Updates on the magnitude, distribution, and 
uncertainty of emission estimates. p. 4 In '97CO2 Extended Abstracts, Fifth 
International Carbon Dioxide Conference, Cairns, Queensland, Australia.

United Nations, 1997. Statistical Yearbook.  United Nations
Statistics Division, United Nations, New York. N.Y. 10017.

===============================================================================