-- -- PostgreSQL database dump -- SET client_encoding = 'UTF8'; SET check_function_bodies = false; SET client_min_messages = warning; SET search_path = public, pg_catalog; -- -- Name: world_cities_gid_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres -- SELECT pg_catalog.setval(pg_catalog.pg_get_serial_sequence('world_cities', 'gid'), 12686, true); -- -- Data for Name: world_cities; Type: TABLE DATA; Schema: public; Owner: postgres -- COPY world_cities (gid, id, attrib, mgcc, admin_code, ufi, population, name, the_geom) FROM stdin; 1 8338 131 12 203 -979186 12116379 Buenos Aires 0101000020E6100000AE47E17A14564DC033333333334B41C0 3 2616 131 198 203 -2437894 10232924 Manila 0101000020E6100000EE9980BADC3E5E401CAA735655352D40 5 9181 131 133 203 -716583 9630586 Seoul 0101000020E61000007385D272FBBF5F40A128756E7FC84240 8 1350 131 24 203 -2737683 8942250 Dhaka 0101000020E610000016D22BAF269A56408D30FB2B1AB93740 9 1663 131 111 203 -2679652 8827879 Jakarta 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world_factbk_simplified (gid, polyid, fips10, country, continent, area, population, birth_rt, death_rt, inf_mort, life_exp, fertility, hivaidpct, hivaidppl, hivaiddth, gdp, gdp_grow, gdp_pc, labor_frc, unemploy, inflation, invst_pct, pub_debt, indprd_gr, elec_prd, elec_con, oil_prod, oil_cons, oil_exp, oil_imp, oil_res, ngas_prd, ngas_cons, ngas_exp, ngas_imp, ngas_res, cur_acct, exports, imports, forgn_exc, ext_debt, telephone, cellphones, inet_host, intrnetu, airports, railways, roadways, waterways, mrct_mrn, mil_exp, gdp_milp, simplify) FROM stdin; 27264 27264 MR Mauritania Africa 1030700 3177388 40.990000000000002 12.16 69.480000000000004 53.119999999999997 5.8600000000000003 0.59999999999999998 9500 0 6891000000 5.5 2200 786000 20 7 0 0 2 185600000 172600000 0 24000 0 0 1000000000 0 0 0 0 0 0 784000000 1124000000 0 2500000000 39000 522400 21 14000 24 0 7660 0 0 19320000 1.3999999999999999 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