Carrying Capacity and Demographics

Activity 3

Data Table 3

Birth Year	Death Year	Age at Death	Gender
1809	1809	0	Female
1800	1800	0	Female
1817	1817	0	Female
1804	1804	0	Female
1808	1808	0	Female
1824	1824	0	Female
1825	1825	0	Female
1802	1802	0	Female
1807	1807	0	Female
1818	1818	0	Female
1817	1818	1	Female
1817	1820	3	Female
1805	1810	5	Female
1807	1813	6	Female
1813	1820	7	Female
1793	1803	10	Female
1793	1805	12	Female
1795	1810	15	Female
1782	1803	21	Female
1786	1813	27	Female
1792	1821	29	Female
1799	1830	31	Female
1795	1827	32	Female
1776	1809	33	Female
1787	1826	39	Female
1761	1800	39	Female
1771	1813	42	Female
1768	1811	43	Female
1783	1826	43	Female
1768	1811	43	Female
1775	1820	45	Female
1769	1817	48	Female
1757	1805	48	Female
1766	1815	49	Female
1754	1804	50	Female
1758	1808	50	Female
1771	1823	52	Female
1752	1804	52	Female
1765	1818	53	Female
1752	1805	53	Female
1752	1806	54	Female
1741	1821	80	Female
1772	1828	56	Female
1760	1818	58	Female
1745	1804	59	Female
1738	1804	66	Female
1741	1813	72	Female
1801	1822	21	Female
1822	1905	83	Female
1824	1911	87	Female
1814	1901	87	Female
1817	1905	88	Female
1819	1909	90	Female
1734	1802	68	Male
1803	1803	0	Male
1820	1820	0	Male
1804	1804	0	Male
1801	1801	0	Male
1821	1821	0	Male
1817	1817	0	Male
1820	1820	0	Male
1815	1815	0	Male
1815	1815	0	Male
1808	1808	0	Male
1805	1806	1	Male
1812	1814	2	Male
1825	1828	3	Male
1809	1813	4	Male
1799	1805	6	Male
1812	1822	10	Male
1810	1823	13	Male
1792	1812	20	Male
1801	1822	21	Male
1786	1808	22	Male
1804	1826	22	Male
1804	1827	23	Male
1789	1812	23	Male
1781	1805	24	Male
1798	1823	25	Male
1800	1826	26	Male
1777	1807	30	Male
1776	1806	30	Male
1781	1813	32	Male
1792	1826	34	Male
1793	1828	35	Male
1769	1806	37	Male
1776	1814	38	Male
1790	1829	39	Male
1765	1804	39	Male
1766	1811	45	Male
1776	1826	50	Male
1767	1820	53	Male
1765	1819	54	Male
1749	1804	55	Male
1765	1821	56	Male
1765	1822	57	Male
1747	1804	57	Male
1768	1826	58	Male
1768	1826	58	Male
1764	1824	60	Male
1819	1901	82	Male

Average age at death:

Data Table 4

Years	Number of Deaths	Crude Death Rate	Number of Survivors	Survivorship per 1,000 (S1000)
0-10	16	16/53(1000)=301.886792	53-16= 37	37/53=0.69811321
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
>100

Years	Number of Deaths	Crude Death Rate	Number of Survivors	Survivorship per 1,000 (S1000)
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
>100

Insert the graph of survivorship vs. time for each cohort below.

1. Compare your cohorts in Activity 3. Explain the differences, if any, between your survivorship curves. Were you able to discern the effects of any remarkable events in your data set such as an epidemic or a war?