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23,994
Table Two IS generic competencies Rank Attribute Mean Queensland
Table 1. Forest Reserves in Queensland. Year State Forest
"... In PAGE 3: ... Despite these initiatives, the next decades were not easy for the fledgling Forest Service. There remained the unquestioned belief that rainforest lands should be made available for farming, and the government was reluctant to set aside as State Forest or National Park any land that might be suitable for farming ( Table1 ). The Land Act of 1910 enshrined the policy that all suitable rural lands should be alienated and developed into quot;family farms quot; (Frawley 1988).... In PAGE 12: ... The decline in the harvest during the 1980s was not due to the exhaustion of the resource, but due in part to the reduction in area available for harvesting. The reduction in productive forest area was partly due to the conversion of land to other uses (both agriculture/pasture and national park, see Table1 ), and partly due to revised estimates of the accessibility and productivity of the permanent forest estate. These estimates drew on new data which revealed that the proportion of the area zoned for logging which was 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 220 200 180 160 140 120 100 80 60 40 20 0 McLean Waugh Volck Higgins Bragg Preston amp; Vanclay Annual Allowable Cut N.... ..."
Table A.1: The topic-oriented set of the 25 experimental queries (topics are coded as HM for the Health and Medicine, and NE for the Nature and Ecology)
2005
Table 5.1: Top Two Complaints about Health Facilities in Rural Villages, 1995-96 (complaints as a percentage of total number of villages responding to the question) Government Private NGO
Table 2. Size of Family, 1998 National Health Interview Survey (unweighted counts) Number of Frequency Percent
"... In PAGE 68: ... As in the past, smaller subgroups have been collapsed for confidentiality reasons. The variable RACE was created using an algorithm created by NHIS staff that first coded the five race mentions from the survey into the single and multiple race group combinations (shown in bold and regular font, respectively) included in Table2 below. All of the multiple race categories in the table were then collapsed into a single Multiple race category, and along with the 4 OMB single race categories and the category Other the variable RACE was created.... In PAGE 69: ...Appendix II, Table2 . Coding Scheme for 1997-1998 NHIS Race Data (including single and multiple race mentions) Number of Sum of Coding (breakdown of Resulting Category Category RACEFULL sum) 1 1+0+0+0+0 White 2 2+0+0+0+0 Black 3 1+2+0+0+0 White/Black 4 0+0+4+0+0 AIAN 5 1+0+4+0+0 White/AIAN 6 0+2+4+0+0 Black/AIAN 7 1+2+4+0+0 White/Black/AIAN 8 0+0+0+8+0 API 9 1+0+0+8+0 White/API 10 0+2+0+8+0 Black/API 11 1+2+0+8+0 White/Black/API 12 0+0+4+8+0 AIAN/API 13 1+0+4+8+0 White/AIAN/API 14 0+2+4+8+0 Black/AIAN/API 15 1+2+4+8+0 White/Black/AIAN/API 16 0+0+0+0+16 Other 17 1+0+0+0+16 White/Other 18 0+2+0+0+16 Black/Other 19 1+2+0+0+16 White/Black/Other 20 0+0+4+0+16 AIAN/Other 21 1+0+4+0+16 White/AIAN/Other 22 0+2+4+0+16 Black/AIAN/Other 23 1+2+4+0+16 White/Black/AIAN/Other 24 0+0+0+8+16 API/Other 25 1+0+0+8+16 White/API/Other 26 0+2+0+8+16 Black/API/Other 27 1+2+0+8+16... ..."
Table 2. Size of Family, 1997 National Health Interview Survey (unweighted counts)
"... In PAGE 53: ... As in the past, smaller subgroups have been collapsed for confidentiality reasons. The variable RACE was created using an algorithm created by NHIS staff that first coded the five race mentions from the survey into the single and multiple race group combinations (shown in bold and regular font, respectively) included in Table2 below. All of the multiple race categories in the table were then collapsed into a single Multiple race category, and along with the 4 OMB race categories and the category Other (all in bold font), the variable RACE was... In PAGE 54: ...Appendix II, Table2 . Coding Scheme for 1997 NHIS Race Data (including single and multiple race mentions) Number of Sum of Coding (breakdown of Resulting Category Category RACEFULL sum) 1 1+0+0+0+0 White 2 2+0+0+0+0 Black 3 1+2+0+0+0 White/Black 4 0+0+4+0+0 AIAN 5 1+0+4+0+0 White/AIAN 6 0+2+4+0+0 Black/AIAN 7 1+2+4+0+0 White/Black/AIAN 8 0+0+0+8+0 API 9 1+0+0+8+0 White/API 10 0+2+0+8+0 Black/API 11 1+2+0+8+0 White/Black/API 12 0+0+4+8+0 AIAN/API 13 1+0+4+8+0 White/AIAN/API 14 0+2+4+8+0 Black/AIAN/API 15 1+2+4+8+0 White/Black/AIAN/API 16 0+0+0+0+16 Other 17 1+0+0+0+16 White/Other 18 0+2+0+0+16 Black/Other 19 1+2+0+0+16 White/Black/Other 20 0+0+4+0+16 AIAN/Other 21 1+0+4+0+16 White/AIAN/Other 22 0+2+4+0+16 Black/AIAN/Other 23 1+2+4+0+16 White/Black/AIAN/Other 24 0+0+0+8+16 API/Other 25 1+0+0+8+16 White/API/Other 26 0+2+0+8+16 Black/API/Other 27 1+2+0+8+16 White/Black/API/Other 28 0+0+4+8+16 AIAN/API/Other 29 1+0+4+8+16... ..."
Table 2. Size of Family, 1998 National Health Interview Survey (unweighted counts) Number of Frequency Percent
"... In PAGE 64: ... As in the past, smaller subgroups have been collapsed for confidentiality reasons. The variable RACE was created using an algorithm created by NHIS staff that first coded the five race mentions from the survey into the single and multiple race group combinations (shown in bold and regular font, respectively) included in Table2 below. All of the multiple race categories in the table were then collapsed into a single Multiple race category, and along with the 4 OMB single race categories and the category Other the variable RACE was created.... In PAGE 65: ...Appendix II, Table2 . Coding Scheme for 1997-1998 NHIS Race Data (including single and multiple race mentions) Number of Sum of Coding (breakdown of Resulting Category Category RACEFULL sum) 1 1+0+0+0+0 White 2 2+0+0+0+0 Black 3 1+2+0+0+0 White/Black 4 0+0+4+0+0 AIAN 5 1+0+4+0+0 White/AIAN 6 0+2+4+0+0 Black/AIAN 7 1+2+4+0+0 White/Black/AIAN 8 0+0+0+8+0 API 9 1+0+0+8+0 White/API 10 0+2+0+8+0 Black/API 11 1+2+0+8+0 White/Black/API 12 0+0+4+8+0 AIAN/API 13 1+0+4+8+0 White/AIAN/API 14 0+2+4+8+0 Black/AIAN/API 15 1+2+4+8+0 White/Black/AIAN/API 16 0+0+0+0+16 Other 17 1+0+0+0+16 White/Other 18 0+2+0+0+16 Black/Other 19 1+2+0+0+16 White/Black/Other 20 0+0+4+0+16 AIAN/Other 21 1+0+4+0+16 White/AIAN/Other 22 0+2+4+0+16 Black/AIAN/Other 23 1+2+4+0+16 White/Black/AIAN/Other 24 0+0+0+8+16 API/Other 25 1+0+0+8+16 White/API/Other 26 0+2+0+8+16 Black/API/Other 27 1+2+0+8+16... ..."
Table 4-3. Human Health Hazard Ranking - Noncarcinogens (from U.S. EPA, 1993)
in DISCLAIMER
2003
"... In PAGE 6: ................................. 3-5 Table4 -1. Contents of the PRODUCT-CHEMICAL File .... In PAGE 6: ..................................... 4-2 Table4 -2. Contents of the CHEMICAL File .... In PAGE 6: .............................................. 4-14 Table4 -3.... In PAGE 6: .............. 4-16 Table4 -4.... In PAGE 30: ... Table4 -1. Contents of the PRODUCT-CHEMICAL File FIELD NAME FIELD TYPE UNITS FIELD DESCRIPTION Product ID Character -- SIC product code.... In PAGE 40: ...those chemicals listed in the PRODUCT-CHEMICAL File (i.e., chemicals detected in emissions or reported to be formulation components). Table4 -2 presents detailed information on the data elements of the file. Appendix C contains all 1,377 records in the CHEMICAL file.... In PAGE 42: ... Table4 -2. Contents of the CHEMICAL File FIELD NAME FIELD TYPE UNITS FIELD DESCRIPTION CAS Number Character -- Chemical-specific Chemical Abstract Service number.... In PAGE 45: ... Table4 -4.... In PAGE 93: ... Next, from the PRODUCT-FORMULATION file (see Table 3-2), the program selects the first formulation associated with the product ID and notes the environments to which the formulation applies. The program then accesses the PRODUCT-CHEMICAL file (see Table4 -1) to identify all chemicals (CAS numbers) associated with the product ID and formulation. Based on information pulled from various files (PRODUCT-CHEMICAL, CHEMICAL, PRODUCT-ENVIRONMENT, ENVIRONMENT, AND PEOPLE-ENVIRONMENT), the program calculates the score for the first chemical in each applicable environment.... ..."
Table 4-4. Human Health Hazard Ranking - Carcinogens (from U.S. EPA, 1993)
in DISCLAIMER
2003
"... In PAGE 6: ................................. 3-5 Table4 -1. Contents of the PRODUCT-CHEMICAL File .... In PAGE 6: ..................................... 4-2 Table4 -2. Contents of the CHEMICAL File .... In PAGE 6: .............................................. 4-14 Table4 -3.... In PAGE 6: .............. 4-16 Table4 -4.... In PAGE 30: ... Table4 -1. Contents of the PRODUCT-CHEMICAL File FIELD NAME FIELD TYPE UNITS FIELD DESCRIPTION Product ID Character -- SIC product code.... In PAGE 40: ...those chemicals listed in the PRODUCT-CHEMICAL File (i.e., chemicals detected in emissions or reported to be formulation components). Table4 -2 presents detailed information on the data elements of the file. Appendix C contains all 1,377 records in the CHEMICAL file.... In PAGE 42: ... Table4 -2. Contents of the CHEMICAL File FIELD NAME FIELD TYPE UNITS FIELD DESCRIPTION CAS Number Character -- Chemical-specific Chemical Abstract Service number.... In PAGE 44: ... Table4 -3.... In PAGE 93: ... Next, from the PRODUCT-FORMULATION file (see Table 3-2), the program selects the first formulation associated with the product ID and notes the environments to which the formulation applies. The program then accesses the PRODUCT-CHEMICAL file (see Table4 -1) to identify all chemicals (CAS numbers) associated with the product ID and formulation. Based on information pulled from various files (PRODUCT-CHEMICAL, CHEMICAL, PRODUCT-ENVIRONMENT, ENVIRONMENT, AND PEOPLE-ENVIRONMENT), the program calculates the score for the first chemical in each applicable environment.... ..."
Table 2: Fatalities across the regions of Queensland by aircraft operational category, 1990 to 2005
"... In PAGE 38: ... Table2 and Figure 17 shows the number of fatalities across the regions of Queensland by aircraft operational category between 1990 and 2005. The highest number of fatalities by aircraft operational category occurred in South Queensland, with 62 fatalities in the private/business category, which accounted for 75 per cent of fatalities in the region.... ..."
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