Sample
Lab 4: Historical Changes in Human Population Characteristics (Due Monday, September 11th by 11:59 PM)
It is possible to study changes in many human population characteristics by gathering information from cemetery records and obituaries, since cemetery records provide information about the past while obituaries provide information about current times.
Introduction
The survival rate of humans in North America has increased significantly in the past 100-200 years. In 1850, life expectancy at birth in the United States was less than 40 years. Today, in the United States, life expectancy at birth is approximately 78 years. This same pattern of increased life expectancy has occurred in other developed countries of the world. Even less-developed countries have shown significant increases. Improved nutrition, vaccines, antibiotics, preventative medicine, lifestyle changes, control of workplace hazards, and new technologies are a few of the reasons for improved life expectancy. Of particular note is the decline in infant and youth mortality in North America during the past 100 years.
Continue reading this paper
The next section explains the methodology used in this research. This sample paper contains 1666 words and 7 pages. Unlock the full document to continue reading.
- Record your information on the table below. (2 points)
|
|
Name of Source to Search for Data (Cemetery Records or Obituary Records) |
Number of Records to Obtain |
In this Column, Record the Age at Death for Your Assigned Population (For Example 19, 37, 99, 101, 6, 82, etc.) |
|
Pre-1900 males |
Oak Cliff Cemetery Memorials |
25 |
2,7, 42, 19, 56, 68, 3, 29, 63, 48, 2, 6, 44, 7, 35, 31, 40, 81, 6, 102, 70, 38, 59, 55, 10 |
|
Pre-1900 females |
Oak Cliff Cemetery Memorials |
25 |
5, 8, 64, 29, 50, 7, 80, 36, 2, 47, 1, 59, 43, 5, 113, 27, 8, 28, 68, 4, 72, 40, 61, 7, 64 |
|
Current males |
Dignity Memorial |
25 |
3, 5, 52, 18, 61, 72, 78, 28, 5, 109, 57, 62, 46, 80, 34, 29, 42, 107, 67, 21, 69, 39, 58, 54, 78 |
|
Current females |
Dignity Memorial |
25 |
2, 50, 55, 19, 42, 70, 4, 30, 6, 48, 53, 60, 4, 73, 32, 26, 37, 107, 67, 23, 71, 39, 110, 52, 108 |
Privileged sections hidden
The next section explains the methodology used in this research. This sample paper contains 1666 words and 7 pages. Unlock the full document to continue reading.
|
|
Pre-1900 Cemetery Data |
Current Obituary Data (last 5 years) |
||||||
|
Male |
Female |
Male |
Female |
|||||
|
Age at death (years) |
Number that died |
Percent surviving (%) |
Number that died |
Percent surviving (%) |
Number that died |
Percent surviving (%) |
Number that died |
Percent surviving (%) |
|
Live birth 0 |
0 |
100 |
0 |
100 |
0 |
100 |
0 |
100 |
|
0-0.99 |
0 |
100 |
0 |
100 |
0 |
100 |
0 |
100 |
|
1-4.99 |
3 |
88 |
3 |
88 |
1 |
96 |
3 |
88 |
|
5-9.99 |
4 |
72 |
6 |
64 |
2 |
88 |
1 |
84 |
|
10-14.99 |
1 |
68 |
0 |
64 |
0 |
88 |
0 |
84 |
|
15-19.99 |
1 |
64 |
0 |
64 |
1 |
84 |
1 |
80 |
|
20-24.99 |
0 |
64 |
0 |
64 |
1 |
80 |
1 |
76 |
|
25-29.99 |
1 |
60 |
3 |
52 |
2 |
72 |
1 |
72 |
|
30-34.99 |
1 |
56 |
0 |
52 |
1 |
68 |
2 |
64 |
|
35-39.99 |
2 |
48 |
1 |
48 |
1 |
64 |
2 |
56 |
|
40-44.99 |
3 |
36 |
2 |
40 |
1 |
60 |
1 |
52 |
|
45-49.99 |
1 |
32 |
1 |
36 |
1 |
56 |
1 |
48 |
|
50-54.99 |
0 |
32 |
1 |
32 |
2 |
48 |
3 |
36 |
|
55-59.99 |
3 |
20 |
2 |
24 |
2 |
40 |
1 |
32 |
|
60-64.99 |
1 |
16 |
2 |
16 |
2 |
32 |
1 |
28 |
|
65-69.99 |
1 |
12 |
1 |
12 |
2 |
24 |
1 |
24 |
|
70-74.99 |
1 |
8 |
1 |
8 |
1 |
20 |
3 |
12 |
|
75-79.99 |
0 |
8 |
0 |
8 |
2 |
12 |
0 |
12 |
|
80-84.99 |
1 |
4 |
1 |
4 |
1 |
8 |
0 |
12 |
|
85-89.99 |
0 |
4 |
0 |
4 |
0 |
8 |
0 |
12 |
|
90-94.55 |
0 |
4 |
0 |
4 |
0 |
8 |
0 |
12 |
|
95-99.99 |
0 |
4 |
0 |
4 |
0 |
8 |
0 |
12 |
|
Over 100 |
1 |
0 |
1 |
0 |
2 |
0 |
3 |
0 |
Privileged sections hidden
The next section explains the methodology used in this research. This sample paper contains 1666 words and 7 pages. Unlock the full document to continue reading.
The major factor contributing to greater survival is better healthcare survival addressing ailments like prostate cancer. Vaccination at birth increases infant survivability, while technology improves survival even with terminal conditions. Changes in lifestyle explain why the current men survive more. They are less likely to engage in risky behavior.
- Examine your graph. (2 points)
- List two differences in the patterns of survival of women who died prior to 1900 with those who died within the last 5 years.
- The survival rate of women pre-1900 is significantly lower than currently.
- Women below 5 years had more sharply decreasing survival rates.
- What factors (biological, social, economic) do you think contributed to these differences? Be specific.
The major factor contributing to greater survival is better healthcare survival addressing ailments like prostate cancer. Vaccination at birth increases infant survivability, while technology improves survival even with terminal conditions. Better survival as infants is a result of social changes emphasizing the well-being of women as much as that of men.
Unlock Options
Visible sections are shown inline, while the locked sections stay gated until a valid payment transaction ID is confirmed.
