Los+Angeles+and+Orange+County+-+David+Su

// -David Su //
 * __ Comparing Human Survivorship: Los Angeles and Orange County __**

Both populations of humans will have type I late loss survivorship curve because both Los Angeles and Orange County are developed areas, meaning mortality would be very low in the younger years. Los Angeles may have a drop-off at a lower age due to the pollution levels in the city.
 * Hypothesis:**

0 || ** Number alive each year ** 50 ||
 * Life Tables:**
 * Life Table for Humans in Los Angeles**
 * ** Age in years **
 * 1 ||  48  ||
 * 3 ||  46  ||
 * 7 ||  44  ||
 * 10 ||  43  ||
 * 12 ||  42  ||
 * 13 ||  41  ||
 * 16 ||  40  ||
 * 23 ||  38  ||
 * 25 ||  37  ||
 * 26 ||  36  ||
 * 27 ||  35  ||
 * 28 ||  33  ||
 * 29 ||  32  ||
 * 34 ||  31  ||
 * 35 ||  29  ||
 * 39 ||  28  ||
 * 40 ||  27  ||
 * 43 ||  25  ||
 * 45 ||  24  ||
 * 47 ||  22  ||
 * 49 ||  21  ||
 * 50 ||  20  ||
 * 53 ||  15  ||
 * 55 ||  13  ||
 * 57 ||  11  ||
 * 61 ||  10  ||
 * 62 ||  9  ||
 * 63 ||  8  ||
 * 64 ||  7  ||
 * 65 ||  6  ||
 * 66 ||  5  ||
 * 68 ||  4  ||
 * 69 ||  3  ||
 * 74 ||  2  ||
 * 76 ||  1  ||
 * 80 ||  0  ||

0 || ** Number alive each year ** 50 ||
 * Life Table for Humans in Orange County**
 * ** Age in years **
 * 1 ||  47  ||
 * 2 ||  46  ||
 * 3 ||  44  ||
 * 4 ||  43  ||
 * 5 ||  41  ||
 * 6 ||  40  ||
 * 7 ||  39  ||
 * 8 ||  38  ||
 * 9 ||  37  ||
 * 20 ||  36  ||
 * 24 ||  34  ||
 * 27 ||  33  ||
 * 28 ||  32  ||
 * 30 ||  30  ||
 * 31 ||  28  ||
 * 33 ||  25  ||
 * 34 ||  23  ||
 * 35 ||  22  ||
 * 37 ||  21  ||
 * 39 ||  20  ||
 * 43 ||  18  ||
 * 45 ||  17  ||
 * 46 ||  16  ||
 * 48 ||  15  ||
 * 49 ||  14  ||
 * 51 ||  11  ||
 * 52 ||  10  ||
 * 53 ||  9  ||
 * 55 ||  8  ||
 * 60 ||  7  ||
 * 61 ||  6  ||
 * 63 ||  5  ||
 * 65 ||  4  ||
 * 72 ||  3  ||
 * 75 ||  1  ||
 * 82 ||  0  ||

[|http://www.rootsweb.ancestry.com/~cabf1905/Los-Angeles/LosAngCoIndx.htm] [|http://www.rootsweb.ancestry.com/~cabf1905/Orange/OrangeCoIndx.htm]
 * Sources:**


 * Plotting a Survivorship Curve:**

Contrary to the hypothesis, both curves show a somewhat constant loss, indicating type II constant loss survivorship curves. This could be because no one age is more susceptible to death than another, possibly due to sufficient medical care given to members of all ages in the population, and that there are no significant density dependent factors that affect the population enough to offset the trends. A slight tendency towards a type I late loss survivorship curve is more evident in the Orange County population, as there is a somewhat steady survivorship number between ages 10 and 25. One limitation of these curves is that they rely on obituary data that may not be comprehensive or representative of the entire populations. For example, families may be less likely to post an obituary for an infant than a senior citizen, and these personal decisions will affect the reliability of the data.
 * Evaluation:**