1 Tabla de proporciones

Leemos la tabla Casen 2017 de personas que ya tiene integrada la clave:

tabla_con_clave <- readRDS("censo_personas_con_clave_17.rds")
x <- tabla_con_clave
r3_100 <- x[c(1:100),]

kbl(r3_100) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
REGION PROVINCIA COMUNA DC AREA ZC_LOC ID_ZONA_LOC NVIV NHOGAR PERSONAN P07 P08 P09 P10 P10COMUNA P10PAIS P11 P11COMUNA P11PAIS P12 P12COMUNA P12PAIS P12A_LLEGADA P12A_TRAMO P13 P14 P15 P15A P16 P16A P16A_OTRO P17 P18 P19 P20 P21M P21A P10PAIS_GRUPO P11PAIS_GRUPO P12PAIS_GRUPO ESCOLARIDAD P16A_GRUPO REGION_15R PROVINCIA_15R COMUNA_15R P10COMUNA_15R P11COMUNA_15R P12COMUNA_15R clave
15 152 15202 1 2 6 13225 1 1 1 1 1 73 1 98 998 3 15101 998 1 98 998 9998 98 2 4 6 2 1 2 98 7 98 98 98 98 9998 998 998 998 4 2 15 152 15202 98 15101 98 15202012006
15 152 15202 1 2 6 13225 3 1 1 1 1 78 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 7 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 3 1 2 2 2 78 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 7 98 1 1 3 1965 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 3 1 3 5 2 52 1 98 998 2 98 998 1 98 998 9998 98 1 2 5 2 1 2 98 7 98 2 1 4 1995 998 998 998 2 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 3 1 4 11 1 44 1 98 998 2 98 998 1 98 998 9998 98 1 3 5 2 1 2 98 1 Z 98 98 98 9998 998 998 998 3 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 9 1 1 1 1 39 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 8 98 98 98 98 9998 998 998 998 8 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 9 1 2 2 2 35 1 98 998 2 98 998 1 98 998 9998 98 2 6 5 2 1 2 98 1 Z 2 2 11 2004 998 998 998 6 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 9 1 3 5 1 13 1 98 998 2 98 998 1 98 998 9998 98 1 7 5 2 1 2 98 98 98 98 98 98 9998 998 998 998 7 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 9 1 4 5 1 12 1 98 998 2 98 998 1 98 998 9998 98 1 6 5 2 1 2 98 98 98 98 98 98 9998 998 998 998 6 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 10 1 1 1 2 65 1 98 998 2 98 998 1 98 998 9998 98 2 4 5 2 1 2 98 6 98 3 3 9 1992 998 998 998 4 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 13 1 1 1 1 50 1 98 998 2 98 998 1 98 998 9998 98 2 5 5 2 1 2 98 1 Z 98 98 98 9998 998 998 998 5 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 13 1 2 4 2 43 1 98 998 2 98 998 1 98 998 9998 98 2 6 5 2 1 2 98 6 98 2 2 3 2002 998 998 998 6 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 13 1 3 5 1 15 3 15201 998 2 98 998 1 98 998 9998 98 1 1 7 2 1 2 98 8 98 98 98 98 9998 998 998 998 9 2 15 152 15202 15201 98 98 15202012006
15 152 15202 1 2 6 13225 16 1 1 1 1 75 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 7 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 16 1 2 16 2 58 4 98 68 6 98 998 5 98 998 9999 1 3 98 98 98 1 2 98 7 98 4 4 99 9999 68 68 68 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 16 1 3 2 2 70 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 7 98 5 4 99 9999 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 17 1 1 1 2 43 2 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 1 I 3 3 9 2008 998 998 998 8 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 17 1 2 4 1 55 2 98 998 2 98 998 1 98 998 9998 98 2 6 5 2 1 2 98 6 98 98 98 98 9998 998 998 998 6 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 17 1 3 5 2 13 2 98 998 2 98 998 2 15101 998 9998 98 1 7 5 2 1 2 98 98 98 98 98 98 9998 998 998 998 7 2 15 152 15202 98 98 15101 15202012006
15 152 15202 1 2 6 13225 17 1 4 5 1 8 2 98 998 2 98 998 2 15101 998 9998 98 1 2 5 2 1 2 98 98 98 98 98 98 9998 998 998 998 2 2 15 152 15202 98 98 15101 15202012006
15 152 15202 1 2 6 13225 17 1 5 15 2 29 2 98 998 4 98 998 3 98 998 2015 1 2 6 5 2 1 2 98 6 98 5 5 11 2014 998 604 604 6 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 17 1 6 15 1 4 2 98 998 1 98 998 5 98 998 2015 1 1 0 1 2 1 2 98 98 98 98 98 98 9998 998 998 68 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 17 1 7 15 2 2 2 98 998 1 98 998 3 98 998 2015 1 1 0 1 2 1 2 98 98 98 98 98 98 9998 998 998 604 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 17 1 8 15 1 16 2 98 998 6 98 998 1 98 998 9998 98 2 4 5 2 1 2 98 6 98 98 98 98 9998 998 68 998 4 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 18 1 1 1 2 74 1 98 998 2 98 998 1 98 998 9998 98 2 2 5 2 1 2 98 6 98 2 2 12 1976 998 998 998 2 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 19 1 1 1 1 68 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 7 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 20 1 1 1 1 74 1 98 998 3 15101 998 1 98 998 9998 98 2 2 5 2 1 2 98 1 Z 98 98 98 9998 998 998 998 2 2 15 152 15202 98 15101 98 15202012006
15 152 15202 1 2 6 13225 20 1 2 2 2 65 1 98 998 3 997 998 3 98 998 9999 2 2 2 5 2 1 2 98 6 98 2 2 9 1982 998 998 604 2 2 15 152 15202 98 997 98 15202012006
15 152 15202 1 2 6 13225 25 1 1 1 2 76 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 6 98 8 6 3 1981 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 25 1 2 5 2 36 1 98 998 2 98 998 1 98 998 9998 98 2 4 8 1 1 2 98 1 A 0 98 98 9998 998 998 998 12 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 28 1 1 1 2 31 1 98 998 2 98 998 5 98 998 2007 2 2 5 5 2 1 2 98 1 A 2 2 4 2008 998 998 68 5 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 28 1 2 4 1 35 1 98 998 2 98 998 5 98 998 2007 2 2 6 5 2 1 2 98 1 F 98 98 98 9998 998 998 68 6 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 28 1 3 5 1 11 1 98 998 2 98 998 5 98 998 2007 2 1 5 5 2 1 2 98 98 98 98 98 98 9998 998 998 68 5 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 28 1 4 5 1 8 1 98 998 2 98 998 1 98 998 9998 98 1 2 5 2 1 2 98 98 98 98 98 98 9998 998 998 998 2 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 28 1 5 15 2 74 1 98 998 2 98 998 1 98 998 9998 98 2 3 5 2 1 2 98 6 98 6 6 99 9999 998 998 998 3 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 33 1 1 1 1 41 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 1 Z 98 98 98 9998 998 998 998 8 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 33 1 2 2 2 47 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 1 A 2 1 4 1996 998 998 998 8 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 33 1 3 14 1 88 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 7 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 33 1 4 14 1 65 1 98 998 2 98 998 1 98 998 9998 98 2 2 5 2 1 2 98 7 98 98 98 98 9998 998 998 998 2 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 36 1 1 1 2 59 1 98 998 2 98 998 1 98 998 9998 98 2 2 5 2 1 2 98 6 98 8 8 2 1998 998 998 998 2 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 36 1 2 2 1 56 1 98 998 99 99 999 1 98 998 9998 98 2 2 5 2 1 2 98 6 98 98 98 98 9998 998 999 998 2 2 15 152 15202 98 99 98 15202012006
15 152 15202 1 2 6 13225 36 1 3 5 2 36 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 6 98 2 2 7 2010 998 998 998 8 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 36 1 4 12 2 13 1 98 998 2 98 998 1 98 998 9998 98 1 7 5 2 1 2 98 98 98 98 98 98 9998 998 998 998 7 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 36 1 5 12 2 6 1 98 998 2 98 998 1 98 998 9998 98 1 0 3 1 1 2 98 98 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 36 1 6 5 1 24 1 98 998 3 15101 998 1 98 998 9998 98 2 4 7 1 1 2 98 1 Z 98 98 98 9998 998 998 998 12 2 15 152 15202 98 15101 98 15202012006
15 152 15202 1 2 6 13225 36 1 7 11 2 24 1 98 998 3 15101 998 1 98 998 9998 98 2 4 7 1 1 2 98 1 N 2 2 11 2015 998 998 998 12 2 15 152 15202 98 15101 98 15202012006
15 152 15202 1 2 6 13225 36 1 8 12 1 6 1 98 998 2 98 998 2 15101 998 9998 98 1 0 3 1 1 2 98 98 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 15101 15202012006
15 152 15202 1 2 6 13225 36 1 9 12 2 1 1 98 998 1 98 998 2 15101 998 9998 98 3 98 98 98 1 2 98 98 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 15101 15202012006
15 152 15202 1 2 6 13225 38 1 1 1 1 19 1 98 998 3 15101 998 2 15101 998 9998 98 1 1 8 2 1 2 98 1 A 98 98 98 9998 998 998 998 9 2 15 152 15202 98 15101 15101 15202012006
15 152 15202 1 2 6 13225 39 1 1 1 1 21 1 98 998 2 98 998 1 98 998 9998 98 2 1 7 2 1 2 98 1 F 98 98 98 9998 998 998 998 9 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 39 1 2 4 2 22 1 98 998 2 98 998 1 98 998 9998 98 2 1 8 2 1 2 98 6 98 0 98 98 9998 998 998 998 9 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 43 1 1 1 2 26 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 6 98 2 2 10 2013 998 998 998 8 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 43 1 2 2 1 24 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 1 Z 98 98 98 9998 998 998 998 8 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 43 1 3 13 2 71 1 98 998 2 98 998 1 98 998 9998 98 2 1 5 2 1 2 98 6 98 3 3 12 1974 998 998 998 1 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 43 1 4 5 2 6 1 98 998 2 98 998 1 98 998 9998 98 1 0 3 1 1 2 98 98 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 6 13225 43 1 5 5 2 3 1 98 998 1 98 998 1 98 998 9998 98 1 0 1 1 1 2 98 98 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012006
15 152 15202 1 2 8 13910 5 1 1 1 1 44 1 98 998 2 98 998 3 98 998 2005 2 2 4 7 1 1 2 98 6 98 98 98 98 9998 998 998 604 12 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 5 1 2 2 2 42 1 98 998 2 98 998 1 98 998 9998 98 2 3 5 2 1 2 98 1 P 3 3 12 2006 998 998 998 3 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 5 1 3 5 2 10 1 98 998 2 98 998 1 98 998 9998 98 1 4 5 2 1 2 98 98 98 98 98 98 9998 998 998 998 4 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 7 1 1 1 2 70 1 98 998 2 98 998 1 98 998 9998 98 2 2 5 2 1 2 98 6 98 7 7 6 1994 998 998 998 2 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 7 1 2 5 1 44 1 98 998 2 98 998 1 98 998 9998 98 2 5 5 2 1 2 98 7 98 98 98 98 9998 998 998 998 5 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 8 1 1 1 1 58 1 98 998 2 98 998 3 98 998 2004 2 2 4 5 2 1 2 98 6 98 98 98 98 9998 998 998 604 4 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 8 1 2 2 2 59 1 98 998 2 98 998 3 98 998 2004 2 2 2 5 2 1 2 98 6 98 3 3 7 1999 998 998 604 2 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 19 1 1 1 1 58 99 99 999 99 99 999 99 99 999 9999 99 99 99 99 99 99 99 99 99 99 98 98 98 9998 999 999 999 99 99 15 152 15202 99 99 99 15202012008
15 152 15202 1 2 8 13910 21 1 1 1 1 53 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 1 H 98 98 98 9998 998 998 998 8 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 21 1 2 2 2 46 1 98 998 2 98 998 1 98 998 9998 98 2 3 5 2 1 2 98 6 98 3 3 2 1990 998 998 998 3 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 22 1 1 1 2 73 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 6 98 6 5 3 1979 998 998 998 0 2 15 152 15202 98 98 98 15202012008
15 152 15202 1 2 8 13910 30 1 1 1 1 57 1 98 998 2 98 998 2 997 998 9998 98 2 3 5 2 1 2 98 6 98 98 98 98 9998 998 998 998 3 2 15 152 15202 98 98 997 15202012008
15 152 15202 1 2 12 8394 3 1 1 2 2 64 1 98 998 2 98 998 3 98 998 1974 4 3 98 98 98 1 2 98 1 A 12 10 99 9999 998 998 604 0 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 3 1 2 1 1 74 2 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 99 99 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 3 1 3 5 2 38 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 2 A 0 98 98 9998 998 998 998 8 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 3 1 4 14 1 38 99 99 999 99 99 999 99 99 999 9999 99 99 99 99 99 99 99 99 8 98 98 98 98 9998 999 999 999 99 99 15 152 15202 99 99 99 15202012012
15 152 15202 1 2 12 8394 9 1 1 1 2 79 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 8 98 2 2 99 9999 998 998 998 0 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 19 1 1 1 1 46 99 99 999 99 99 999 99 99 999 9999 99 99 99 99 99 99 99 99 99 99 98 98 98 9998 999 999 999 99 99 15 152 15202 99 99 99 15202012012
15 152 15202 1 2 12 8394 20 1 1 1 2 58 1 98 998 2 98 998 1 98 998 9998 98 2 8 5 1 1 2 98 1 A 3 3 7 1982 998 998 998 8 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 21 1 1 1 2 45 1 98 998 6 98 998 2 997 998 9998 98 2 4 5 2 1 2 98 1 A 6 6 2 2007 998 68 998 4 2 15 152 15202 98 98 997 15202012012
15 152 15202 1 2 12 8394 21 1 2 5 2 10 1 98 998 6 98 998 2 3201 998 9998 98 1 4 5 2 1 2 98 98 98 98 98 98 9998 998 68 998 4 2 15 152 15202 98 98 3201 15202012012
15 152 15202 1 2 12 8394 24 1 1 1 1 67 1 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 8 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 24 1 2 2 2 53 1 98 998 2 98 998 3 98 998 9999 99 3 98 98 98 1 2 98 8 98 0 98 98 9998 998 998 604 0 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 27 1 1 1 1 48 1 98 998 2 98 998 1 98 998 9998 98 2 4 7 1 1 2 98 8 98 98 98 98 9998 998 998 998 12 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 31 1 1 1 1 49 1 98 998 4 98 998 3 98 998 2001 2 2 8 5 1 1 2 98 1 A 98 98 98 9998 998 604 604 8 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 42 1 1 1 1 46 1 98 998 2 98 998 3 98 998 1992 3 2 8 5 1 1 2 98 2 A 98 98 98 9998 998 998 604 8 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 42 1 2 2 2 24 1 98 998 6 98 998 5 98 998 2013 1 2 7 5 2 1 2 98 6 98 2 2 6 2016 998 68 68 7 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 42 1 3 6 2 2 1 98 998 1 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 98 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 42 1 4 5 1 0 1 98 998 1 98 998 2 15101 998 9998 98 99 99 99 99 1 2 98 98 98 98 98 98 9998 998 998 998 99 2 15 152 15202 98 98 15101 15202012012
15 152 15202 1 2 12 8394 42 1 5 5 2 13 1 98 998 2 98 998 3 98 998 9999 99 1 7 5 2 1 2 98 98 98 98 98 98 9998 998 998 604 7 2 15 152 15202 98 98 98 15202012012
15 152 15202 1 2 12 8394 42 1 6 5 1 6 1 98 998 2 98 998 2 15101 998 9998 98 1 0 3 1 1 2 98 98 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 15101 15202012012
15 152 15202 1 2 15 4094 2 1 1 1 1 41 1 98 998 2 98 998 1 98 998 9998 98 2 4 12 1 1 2 98 1 O 98 98 98 9998 998 998 998 16 2 15 152 15202 98 98 98 15202012015
15 152 15202 1 2 15 4094 8 1 1 17 1 70 2 98 998 2 98 998 1 98 998 9998 98 3 98 98 98 1 2 98 7 98 98 98 98 9998 998 998 998 0 2 15 152 15202 98 98 98 15202012015
15 152 15202 1 2 15 4094 8 1 2 17 1 47 2 98 998 3 15101 998 2 8101 998 9998 98 2 4 8 1 1 2 98 1 Z 98 98 98 9998 998 998 998 12 2 15 152 15202 98 15101 8101 15202012015
15 152 15202 1 2 15 4094 8 1 3 17 1 19 2 98 998 3 15101 998 2 15101 998 9998 98 1 99 7 99 1 2 98 1 I 98 98 98 9998 998 998 998 99 2 15 152 15202 98 15101 15101 15202012015
15 152 15202 1 2 15 4094 8 1 4 17 1 43 2 98 998 3 4302 998 2 8101 998 9998 98 99 4 8 1 1 2 98 1 N 98 98 98 9998 998 998 998 12 2 15 152 15202 98 4302 8101 15202012015
15 152 15202 1 2 15 4094 8 1 5 17 2 35 2 98 998 6 98 998 5 98 998 2016 1 2 8 5 1 1 2 98 1 I 2 2 3 2007 998 68 68 8 2 15 152 15202 98 98 98 15202012015
15 152 15202 1 2 15 4094 8 1 6 17 1 36 3 13123 998 3 13123 998 2 12101 998 9998 98 2 5 12 1 2 98 98 1 J 98 98 98 9998 998 998 998 17 98 15 152 15202 13123 13123 12101 15202012015
15 152 15202 1 2 15 4094 8 1 7 17 2 25 2 98 998 3 15101 998 2 15101 998 9998 98 2 5 12 1 1 2 98 1 Q 1 1 12 2011 998 998 998 17 2 15 152 15202 98 15101 15101 15202012015
15 152 15202 1 2 15 4094 9 1 1 1 1 72 1 98 998 2 98 998 1 98 998 9998 98 2 1 5 2 1 2 98 1 G 98 98 98 9998 998 998 998 1 2 15 152 15202 98 98 98 15202012015
15 152 15202 1 2 15 4094 12 1 1 1 1 21 1 98 998 3 15101 998 2 15101 998 9998 98 2 4 8 1 1 2 98 1 N 98 98 98 9998 998 998 998 12 2 15 152 15202 98 15101 15101 15202012015
15 152 15202 1 2 15 4094 15 1 1 1 1 61 1 98 998 2 98 998 1 98 998 9998 98 2 3 7 2 1 2 98 4 98 98 98 98 9998 998 998 998 11 2 15 152 15202 98 98 98 15202012015
15 152 15202 1 2 15 4094 15 1 2 5 2 31 1 98 998 3 15101 998 1 98 998 9998 98 2 4 12 1 1 2 98 1 P 1 1 10 2007 998 998 998 16 2 15 152 15202 98 15101 98 15202012015
15 152 15202 1 2 15 4094 16 1 1 1 1 34 1 98 998 3 15101 998 1 98 998 9998 98 2 5 12 1 1 2 98 1 O 98 98 98 9998 998 998 998 17 2 15 152 15202 98 15101 98 15202012015


Obtenemos las frecuencias de personas por manzana, por comuna:

r3 <-table(x$COMUNA, as.numeric(x$clave))
r3 <- as.data.frame(r3)

r3 <- r3[!(r3$Freq == 0),]
r3_100 <- r3[c(1:100),]

kbl(r3_100) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Var1 Var2 Freq
1 1101 1101011001 2491
347 1101 1101011002 1475
693 1101 1101021001 1003
1039 1101 1101021002 54
1385 1101 1101021003 2895
1731 1101 1101021004 2398
2077 1101 1101021005 4525
2423 1101 1101031001 2725
2769 1101 1101031002 3554
3115 1101 1101031003 5246
3461 1101 1101031004 3389
3807 1101 1101041001 1800
4153 1101 1101041002 2538
4499 1101 1101041003 3855
4845 1101 1101041004 5663
5191 1101 1101041005 4162
5537 1101 1101041006 2689
5883 1101 1101051001 3296
6229 1101 1101051002 4465
6575 1101 1101051003 4656
6921 1101 1101051004 2097
7267 1101 1101051005 3569
7613 1101 1101051006 2741
7959 1101 1101061001 1625
8305 1101 1101061002 4767
8651 1101 1101061003 4826
8997 1101 1101061004 4077
9343 1101 1101061005 2166
9689 1101 1101071001 2324
10035 1101 1101071002 2801
10381 1101 1101071003 3829
10727 1101 1101071004 1987
11073 1101 1101081001 5133
11419 1101 1101081002 3233
11765 1101 1101081003 2122
12111 1101 1101081004 2392
12457 1101 1101092001 57
12803 1101 1101092004 247
13149 1101 1101092005 76
13495 1101 1101092006 603
13841 1101 1101092007 84
14187 1101 1101092010 398
14533 1101 1101092012 58
14879 1101 1101092014 23
15225 1101 1101092016 20
15571 1101 1101092017 8
15917 1101 1101092018 74
16263 1101 1101092019 25
16609 1101 1101092021 177
16955 1101 1101092022 23
17301 1101 1101092023 288
17647 1101 1101092024 14
17993 1101 1101092901 30
18339 1101 1101101001 2672
18685 1101 1101101002 4398
19031 1101 1101101003 4524
19377 1101 1101101004 3544
19723 1101 1101101005 4911
20069 1101 1101101006 3688
20415 1101 1101111001 3886
20761 1101 1101111002 2312
21107 1101 1101111003 4874
21453 1101 1101111004 4543
21799 1101 1101111005 4331
22145 1101 1101111006 3253
22491 1101 1101111007 4639
22837 1101 1101111008 4881
23183 1101 1101111009 5006
23529 1101 1101111010 366
23875 1101 1101111011 4351
24221 1101 1101111012 2926
24567 1101 1101111013 3390
24913 1101 1101111014 2940
25259 1101 1101112003 33
25605 1101 1101112013 104
25951 1101 1101112019 34
26297 1101 1101112025 21
26643 1101 1101112901 6
26989 1101 1101991999 1062
27336 1107 1107011001 4104
27682 1107 1107011002 4360
28028 1107 1107011003 8549
28374 1107 1107012003 3
28720 1107 1107012901 17
29066 1107 1107021001 6701
29412 1107 1107021002 3971
29758 1107 1107021003 6349
30104 1107 1107021004 5125
30450 1107 1107021005 4451
30796 1107 1107021006 3864
31142 1107 1107021007 5235
31488 1107 1107021008 4566
31834 1107 1107031001 4195
32180 1107 1107031002 7099
32526 1107 1107031003 4720
32872 1107 1107032005 38
33218 1107 1107032006 2399
33564 1107 1107032008 4
33910 1107 1107041001 3630
34256 1107 1107041002 5358 
saveRDS(r3, "frec_man_com.rds")
frec_man_com <- readRDS("frec_man_com.rds")


Calculamos una columna de proporciones para la comuna 1107:

frec_man_com_1107 <- filter(frec_man_com, frec_man_com$Var1 == 1107)
frec_man_com_1107$p <- frec_man_com_1107$Freq*100/sum(frec_man_com_1107$Freq)
kbl(frec_man_com_1107) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Var1 Var2 Freq p
1107 1107011001 4104 3.7868512
1107 1107011002 4360 4.0230681
1107 1107011003 8549 7.8883506
1107 1107012003 3 0.0027682
1107 1107012901 17 0.0156863
1107 1107021001 6701 6.1831603
1107 1107021002 3971 3.6641292
1107 1107021003 6349 5.8583622
1107 1107021004 5125 4.7289504
1107 1107021005 4451 4.1070358
1107 1107021006 3864 3.5653979
1107 1107021007 5235 4.8304498
1107 1107021008 4566 4.2131488
1107 1107031001 4195 3.8708189
1107 1107031002 7099 6.5504037
1107 1107031003 4720 4.3552480
1107 1107032005 38 0.0350634
1107 1107032006 2399 2.2136101
1107 1107032008 4 0.0036909
1107 1107041001 3630 3.3494810
1107 1107041002 5358 4.9439446
1107 1107041003 4520 4.1707036
1107 1107041004 5317 4.9061130
1107 1107041005 3725 3.4371396
1107 1107041006 4009 3.6991926
1107 1107041007 5217 4.8138408
1107 1107042002 30 0.0276817
1107 1107991999 819 0.7557093


Calculamos las proporciones ahora para todas las comunas:

codigos_com <- unique(frec_man_com$Var1)
frec_man_com_parcial_total <- data.frame()

for(i in codigos_com){
  # debemos dividir por 100 para obtener las proporciones y no los porcentajes:
  frec_man_com_parcial <- filter(frec_man_com, frec_man_com$Var1 == i)
  frec_man_com_parcial$p <- frec_man_com_parcial$Freq*100/sum(frec_man_com_parcial$Freq)/100
  frec_man_com_parcial_total <- rbind(frec_man_com_parcial_total,frec_man_com_parcial)
}


Observemos los primeros 100 registros:

r3_100 <- frec_man_com_parcial_total[c(1:100),]

kbl(r3_100) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Var1 Var2 Freq p
1101 1101011001 2491 0.0130100
1101 1101011002 1475 0.0077036
1101 1101021001 1003 0.0052385
1101 1101021002 54 0.0002820
1101 1101021003 2895 0.0151200
1101 1101021004 2398 0.0125243
1101 1101021005 4525 0.0236332
1101 1101031001 2725 0.0142321
1101 1101031002 3554 0.0185618
1101 1101031003 5246 0.0273988
1101 1101031004 3389 0.0177001
1101 1101041001 1800 0.0094010
1101 1101041002 2538 0.0132555
1101 1101041003 3855 0.0201339
1101 1101041004 5663 0.0295767
1101 1101041005 4162 0.0217373
1101 1101041006 2689 0.0140441
1101 1101051001 3296 0.0172144
1101 1101051002 4465 0.0233198
1101 1101051003 4656 0.0243174
1101 1101051004 2097 0.0109522
1101 1101051005 3569 0.0186402
1101 1101051006 2741 0.0143157
1101 1101061001 1625 0.0084871
1101 1101061002 4767 0.0248971
1101 1101061003 4826 0.0252053
1101 1101061004 4077 0.0212934
1101 1101061005 2166 0.0113126
1101 1101071001 2324 0.0121378
1101 1101071002 2801 0.0146291
1101 1101071003 3829 0.0199981
1101 1101071004 1987 0.0103777
1101 1101081001 5133 0.0268087
1101 1101081002 3233 0.0168853
1101 1101081003 2122 0.0110828
1101 1101081004 2392 0.0124929
1101 1101092001 57 0.0002977
1101 1101092004 247 0.0012900
1101 1101092005 76 0.0003969
1101 1101092006 603 0.0031494
1101 1101092007 84 0.0004387
1101 1101092010 398 0.0020787
1101 1101092012 58 0.0003029
1101 1101092014 23 0.0001201
1101 1101092016 20 0.0001045
1101 1101092017 8 0.0000418
1101 1101092018 74 0.0003865
1101 1101092019 25 0.0001306
1101 1101092021 177 0.0009244
1101 1101092022 23 0.0001201
1101 1101092023 288 0.0015042
1101 1101092024 14 0.0000731
1101 1101092901 30 0.0001567
1101 1101101001 2672 0.0139553
1101 1101101002 4398 0.0229699
1101 1101101003 4524 0.0236280
1101 1101101004 3544 0.0185096
1101 1101101005 4911 0.0256492
1101 1101101006 3688 0.0192617
1101 1101111001 3886 0.0202958
1101 1101111002 2312 0.0120751
1101 1101111003 4874 0.0254560
1101 1101111004 4543 0.0237272
1101 1101111005 4331 0.0226200
1101 1101111006 3253 0.0169898
1101 1101111007 4639 0.0242286
1101 1101111008 4881 0.0254925
1101 1101111009 5006 0.0261454
1101 1101111010 366 0.0019115
1101 1101111011 4351 0.0227244
1101 1101111012 2926 0.0152819
1101 1101111013 3390 0.0177053
1101 1101111014 2940 0.0153550
1101 1101112003 33 0.0001724
1101 1101112013 104 0.0005432
1101 1101112019 34 0.0001776
1101 1101112025 21 0.0001097
1101 1101112901 6 0.0000313
1101 1101991999 1062 0.0055466
1107 1107011001 4104 0.0378685
1107 1107011002 4360 0.0402307
1107 1107011003 8549 0.0788835
1107 1107012003 3 0.0000277
1107 1107012901 17 0.0001569
1107 1107021001 6701 0.0618316
1107 1107021002 3971 0.0366413
1107 1107021003 6349 0.0585836
1107 1107021004 5125 0.0472895
1107 1107021005 4451 0.0410704
1107 1107021006 3864 0.0356540
1107 1107021007 5235 0.0483045
1107 1107021008 4566 0.0421315
1107 1107031001 4195 0.0387082
1107 1107031002 7099 0.0655040
1107 1107031003 4720 0.0435525
1107 1107032005 38 0.0003506
1107 1107032006 2399 0.0221361
1107 1107032008 4 0.0000369
1107 1107041001 3630 0.0334948
1107 1107041002 5358 0.0494394


Verifiquemos filtrando para la comuna 1107:

frec_man_com_parcial_total_1107 <- filter(frec_man_com_parcial_total,frec_man_com_parcial_total$Var1 == 1107)
kbl(frec_man_com_parcial_total_1107) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Var1 Var2 Freq p
1107 1107011001 4104 0.0378685
1107 1107011002 4360 0.0402307
1107 1107011003 8549 0.0788835
1107 1107012003 3 0.0000277
1107 1107012901 17 0.0001569
1107 1107021001 6701 0.0618316
1107 1107021002 3971 0.0366413
1107 1107021003 6349 0.0585836
1107 1107021004 5125 0.0472895
1107 1107021005 4451 0.0410704
1107 1107021006 3864 0.0356540
1107 1107021007 5235 0.0483045
1107 1107021008 4566 0.0421315
1107 1107031001 4195 0.0387082
1107 1107031002 7099 0.0655040
1107 1107031003 4720 0.0435525
1107 1107032005 38 0.0003506
1107 1107032006 2399 0.0221361
1107 1107032008 4 0.0000369
1107 1107041001 3630 0.0334948
1107 1107041002 5358 0.0494394
1107 1107041003 4520 0.0417070
1107 1107041004 5317 0.0490611
1107 1107041005 3725 0.0343714
1107 1107041006 4009 0.0369919
1107 1107041007 5217 0.0481384
1107 1107042002 30 0.0002768
1107 1107991999 819 0.0075571


Hay que agregar un cero a los códigos de 4 dígitos:

# recogemos el campo Comuna:
codigos <- frec_man_com_parcial_total$Var1
# construimos una secuencia llamada rango del 1 al total de filas del dataset:
rango <- seq(1:nrow(frec_man_com_parcial_total))
# Creamos un string que agrega un cero a todos los registros:
cadena <- paste("0",codigos[rango], sep = "")

# El string cadena tiene o 5 o 6 digitos, los cuales siempre deben ser siempre 5 agregandole un cero al inicio de los que tienen 4.
# Para ello extraemos un substring de la cadena sobre todas las filas (rangos) comenzando desde el primero o el segundo y llegando siempre al 6.

cadena <- substr(cadena,(nchar(cadena)[rango])-(4),6)
codigos <- as.data.frame(codigos)
cadena <- as.data.frame(cadena)
comuna_corr <- cbind(frec_man_com_parcial_total,cadena)


Eliminamos columnas y renombramos:

comuna_corr <- comuna_corr[,-c(1),drop=FALSE] 
names(comuna_corr)[4] <- "código" 
# comuna_corr


Veamos los 100 primeros registros:

r3_100 <- comuna_corr[c(1:100),]

kbl(r3_100) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
Var2 Freq p código
1101011001 2491 0.0130100 01101
1101011002 1475 0.0077036 01101
1101021001 1003 0.0052385 01101
1101021002 54 0.0002820 01101
1101021003 2895 0.0151200 01101
1101021004 2398 0.0125243 01101
1101021005 4525 0.0236332 01101
1101031001 2725 0.0142321 01101
1101031002 3554 0.0185618 01101
1101031003 5246 0.0273988 01101
1101031004 3389 0.0177001 01101
1101041001 1800 0.0094010 01101
1101041002 2538 0.0132555 01101
1101041003 3855 0.0201339 01101
1101041004 5663 0.0295767 01101
1101041005 4162 0.0217373 01101
1101041006 2689 0.0140441 01101
1101051001 3296 0.0172144 01101
1101051002 4465 0.0233198 01101
1101051003 4656 0.0243174 01101
1101051004 2097 0.0109522 01101
1101051005 3569 0.0186402 01101
1101051006 2741 0.0143157 01101
1101061001 1625 0.0084871 01101
1101061002 4767 0.0248971 01101
1101061003 4826 0.0252053 01101
1101061004 4077 0.0212934 01101
1101061005 2166 0.0113126 01101
1101071001 2324 0.0121378 01101
1101071002 2801 0.0146291 01101
1101071003 3829 0.0199981 01101
1101071004 1987 0.0103777 01101
1101081001 5133 0.0268087 01101
1101081002 3233 0.0168853 01101
1101081003 2122 0.0110828 01101
1101081004 2392 0.0124929 01101
1101092001 57 0.0002977 01101
1101092004 247 0.0012900 01101
1101092005 76 0.0003969 01101
1101092006 603 0.0031494 01101
1101092007 84 0.0004387 01101
1101092010 398 0.0020787 01101
1101092012 58 0.0003029 01101
1101092014 23 0.0001201 01101
1101092016 20 0.0001045 01101
1101092017 8 0.0000418 01101
1101092018 74 0.0003865 01101
1101092019 25 0.0001306 01101
1101092021 177 0.0009244 01101
1101092022 23 0.0001201 01101
1101092023 288 0.0015042 01101
1101092024 14 0.0000731 01101
1101092901 30 0.0001567 01101
1101101001 2672 0.0139553 01101
1101101002 4398 0.0229699 01101
1101101003 4524 0.0236280 01101
1101101004 3544 0.0185096 01101
1101101005 4911 0.0256492 01101
1101101006 3688 0.0192617 01101
1101111001 3886 0.0202958 01101
1101111002 2312 0.0120751 01101
1101111003 4874 0.0254560 01101
1101111004 4543 0.0237272 01101
1101111005 4331 0.0226200 01101
1101111006 3253 0.0169898 01101
1101111007 4639 0.0242286 01101
1101111008 4881 0.0254925 01101
1101111009 5006 0.0261454 01101
1101111010 366 0.0019115 01101
1101111011 4351 0.0227244 01101
1101111012 2926 0.0152819 01101
1101111013 3390 0.0177053 01101
1101111014 2940 0.0153550 01101
1101112003 33 0.0001724 01101
1101112013 104 0.0005432 01101
1101112019 34 0.0001776 01101
1101112025 21 0.0001097 01101
1101112901 6 0.0000313 01101
1101991999 1062 0.0055466 01101
1107011001 4104 0.0378685 01107
1107011002 4360 0.0402307 01107
1107011003 8549 0.0788835 01107
1107012003 3 0.0000277 01107
1107012901 17 0.0001569 01107
1107021001 6701 0.0618316 01107
1107021002 3971 0.0366413 01107
1107021003 6349 0.0585836 01107
1107021004 5125 0.0472895 01107
1107021005 4451 0.0410704 01107
1107021006 3864 0.0356540 01107
1107021007 5235 0.0483045 01107
1107021008 4566 0.0421315 01107
1107031001 4195 0.0387082 01107
1107031002 7099 0.0655040 01107
1107031003 4720 0.0435525 01107
1107032005 38 0.0003506 01107
1107032006 2399 0.0221361 01107
1107032008 4 0.0000369 01107
1107041001 3630 0.0334948 01107
1107041002 5358 0.0494394 01107


2 Expansión al nivel zonal

Leamos nuestra tabla que contiene integrados los ingresos expandidos y las frecuencias de hombres y mujeres por comuna:

h_y_m_2017_censo <- readRDS("h_y_m_2017_censo.rds")
r3_100 <- h_y_m_2017_censo[c(1:100),]
kbl(r3_100) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
código Hombres anio.x Mujeres comuna.x promedio_i año comuna.y personas Ingresos_expandidos
01101 94897 2017 96571 Iquique 354820.7 2017 1101 191468 67936815240
01107 54206 2017 54169 Alto Hospicio 301933.4 2017 1107 108375 32722034397
01401 8987 2017 6724 Pozo Almonte 285981.8 2017 1401 15711 4493059532
01402 657 2017 593 Camiña 262850.3 2017 1402 1250 328562901
01403 995 2017 733 NA NA NA NA NA NA
01404 1501 2017 1229 Huara 253968.5 2017 1404 2730 693334131
01405 6550 2017 2746 Pica 313007.5 2017 1405 9296 2909717399
02101 181846 2017 180027 Antofagasta 347580.2 2017 2101 361873 125779893517
02102 8035 2017 5432 Mejillones 369770.7 2017 2102 13467 4979702302
02103 8662 2017 1524 Sierra Gorda 403458.5 2017 2103 10186 4109628188
02104 7481 2017 5836 Taltal 364539.1 2017 2104 13317 4854566842
02201 86049 2017 79682 Calama 409671.3 2017 2201 165731 67895226712
02202 207 2017 114 NA NA NA NA NA NA
02203 6161 2017 4835 San Pedro de Atacama 426592.0 2017 2203 10996 4690805471
02301 12481 2017 12705 Tocopilla 246615.3 2017 2301 25186 6211253937
02302 4092 2017 2365 María Elena 466266.9 2017 2302 6457 3010685220
03101 76627 2017 77310 Copiapó 330075.2 2017 3101 153937 50810778473
03102 9094 2017 8568 Caldera 299314.8 2017 3102 17662 5286498241
03103 7796 2017 6223 Tierra Amarilla 314643.9 2017 3103 14019 4410992711
03201 6270 2017 5949 Chañaral 286389.3 2017 3201 12219 3499391196
03202 7486 2017 6439 Diego de Almagro 336256.8 2017 3202 13925 4682376047
03301 25422 2017 26495 Vallenar 304336.7 2017 3301 51917 15800246795
03302 2925 2017 2374 Alto del Carmen 227130.4 2017 3302 5299 1203563833
03303 3557 2017 3484 Freirina 253086.7 2017 3303 7041 1781983257
03304 5243 2017 4906 Huasco 287406.6 2017 3304 10149 2916889629
04101 105836 2017 115218 La Serena 270221.9 2017 4101 221054 59733627577
04102 109872 2017 117858 Coquimbo 261852.6 2017 4102 227730 59631700074
04103 5519 2017 5525 Andacollo 248209.3 2017 4103 11044 2741223967
04104 2236 2017 2005 La Higuera 228356.8 2017 4104 4241 968461330
04105 2240 2017 2257 Paiguano 205942.1 2017 4105 4497 926121774
04106 13792 2017 13979 Vicuña 211431.9 2017 4106 27771 5871675449
04201 14739 2017 16109 Illapel 238674.4 2017 4201 30848 7362627007
04202 4632 2017 4461 Canela 207933.6 2017 4202 9093 1890740321
04203 11061 2017 10321 Los Vilos 255200.4 2017 4203 21382 5456695139
04204 15712 2017 13635 Salamanca 242879.5 2017 4204 29347 7127783272
04301 53619 2017 57653 Ovalle 266522.9 2017 4301 111272 29656533187
04302 6656 2017 6666 Combarbalá 210409.7 2017 4302 13322 2803077721
04303 15270 2017 15481 Monte Patria 211907.9 2017 4303 30751 6516380780
04304 5452 2017 5504 Punitaqui 194997.8 2017 4304 10956 2136395349
04305 2138 2017 2140 Río Hurtado 182027.2 2017 4305 4278 778712384
05101 144945 2017 151710 Valparaíso 298720.7 2017 5101 296655 88616992249
05102 13346 2017 13521 Casablanca 312802.7 2017 5102 26867 8404070481
05103 20321 2017 21831 Concón 318496.3 2017 5103 42152 13425257057
05104 499 2017 427 NA NA NA NA NA NA
05105 9358 2017 9188 Puchuncaví 288737.2 2017 5105 18546 5354920887
05107 15834 2017 16089 Quintero 316659.1 2017 5107 31923 10108709691
05109 158669 2017 175579 Viña del Mar 337006.1 2017 5109 334248 112643604611
05201 3819 2017 3931 NA NA NA NA NA NA
05301 33289 2017 33419 Los Andes 338182.5 2017 5301 66708 22559476922
05302 7328 2017 7504 Calle Larga 245165.4 2017 5302 14832 3636293159
05303 5134 2017 5073 Rinconada 281633.2 2017 5303 10207 2874630315
05304 9303 2017 9552 San Esteban 220958.4 2017 5304 18855 4166170587
05401 17340 2017 18050 La Ligua 229623.7 2017 5401 35390 8126381563
05402 9467 2017 9921 Cabildo 249717.7 2017 5402 19388 4841527150
05403 3341 2017 3015 Papudo 294355.2 2017 5403 6356 1870921373
05404 4889 2017 4937 Petorca 264086.7 2017 5404 9826 2594915888
05405 3704 2017 3635 Zapallar 293870.1 2017 5405 7339 2156712827
05501 43537 2017 46980 Quillota 277184.6 2017 5501 90517 25089914463
05502 24462 2017 26092 Calera 267476.8 2017 5502 50554 13522019939
05503 9037 2017 8951 Hijuelas 253947.3 2017 5503 17988 4568003208
05504 10656 2017 11442 La Cruz 312346.3 2017 5504 22098 6902229233
05506 10799 2017 11321 Nogales 261452.2 2017 5506 22120 5783323464
05601 44713 2017 46637 San Antonio 242492.5 2017 5601 91350 22151693912
05602 6734 2017 7083 Algarrobo 322834.9 2017 5602 13817 4460610017
05603 11265 2017 11473 Cartagena 245079.0 2017 5603 22738 5572606796
05604 7826 2017 8129 El Quisco 270498.2 2017 5604 15955 4315799297
05605 6682 2017 6604 El Tabo 287271.0 2017 5605 13286 3816682340
05606 5428 2017 5472 Santo Domingo 340738.1 2017 5606 10900 3714045563
05701 37219 2017 39625 San Felipe 286332.1 2017 5701 76844 22002906863
05702 6982 2017 7016 Catemu 223319.0 2017 5702 13998 3126019362
05703 12216 2017 12392 Llaillay 288289.5 2017 5703 24608 7094226897
05704 3677 2017 3596 Panquehue 290858.7 2017 5704 7273 2115415110
05705 8358 2017 8396 Putaendo 257085.1 2017 5705 16754 4307203581
05706 7586 2017 7655 Santa María 255687.9 2017 5706 15241 3896939410
05801 71746 2017 79962 Quilpué 326377.6 2017 5801 151708 49514087798
05802 22353 2017 23768 Limache 290127.5 2017 5802 46121 13380969655
05803 8597 2017 8919 Olmué 268408.7 2017 5803 17516 4701446172
05804 59756 2017 66792 Villa Alemana 341297.4 2017 5804 126548 43190498820
06101 117942 2017 123832 Rancagua 301853.9 2017 6101 241774 72980418081
06102 6510 2017 6478 Codegua 278393.2 2017 6102 12988 3615771236
06103 3729 2017 3630 Coinco 206204.2 2017 6103 7359 1517456860
06104 9806 2017 9791 Coltauco 281166.3 2017 6104 19597 5510015931
06105 10394 2017 10493 Doñihue 280954.4 2017 6105 20887 5868294337
06106 16634 2017 16803 Graneros 296299.6 2017 6106 33437 9907371170
06107 12656 2017 11984 Las Cabras 220301.7 2017 6107 24640 5428234342
06108 25585 2017 26920 Machalí 294855.8 2017 6108 52505 15481406250
06109 6819 2017 6588 Malloa 231507.7 2017 6109 13407 3103823211
06110 12663 2017 12680 Mostazal 285321.6 2017 6110 25343 7230905238
06111 6822 2017 6786 Olivar 287461.5 2017 6111 13608 3911776406
06112 7237 2017 7076 Peumo 245845.8 2017 6112 14313 3518790706
06113 10080 2017 9634 Pichidegua 230169.9 2017 6113 19714 4537569242
06114 6519 2017 6483 Quinta de Tilcoco 218897.6 2017 6114 13002 2846106747
06115 28844 2017 29981 Rengo 277751.8 2017 6115 58825 16338747535
06116 14125 2017 13843 Requínoa 288193.8 2017 6116 27968 8060204555
06117 23302 2017 23464 San Vicente 272839.9 2017 6117 46766 12759631437
06201 8289 2017 8105 Pichilemu 296227.8 2017 6201 16394 4856358362
06202 1603 2017 1438 La Estrella 247322.4 2017 6202 3041 752107312
06203 3287 2017 3007 Litueche 268847.4 2017 6203 6294 1692125705
06204 3745 2017 3563 Marchihue 266833.8 2017 6204 7308 1950021686
06205 3475 2017 3166 Navidad 211171.1 2017 6205 6641 1402387059


Hacemos la unión por el campo código con la tabla precedente de cantidad de personas por zona:

h_y_m_comuna_corr = merge( x = comuna_corr, y = h_y_m_2017_censo, by = "código", all.x = TRUE)
# Renombremos columnas y quitamos las irrelevantes:
names(h_y_m_comuna_corr)[2] <- "zona"
names(h_y_m_comuna_corr)[3] <- "hbtes_por_zona"
names(h_y_m_comuna_corr)[6] <- "anio"
h_y_m_comuna_corr_f <- h_y_m_comuna_corr[,-c(6,11),drop=FALSE]


r3_100 <- h_y_m_comuna_corr_f[c(1:100),]
kbl(r3_100) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
código zona hbtes_por_zona p Hombres Mujeres comuna.x promedio_i año personas Ingresos_expandidos
01101 1101011001 2491 0.0130100 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101011002 1475 0.0077036 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101021001 1003 0.0052385 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101021002 54 0.0002820 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101021003 2895 0.0151200 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101021004 2398 0.0125243 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101021005 4525 0.0236332 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101031001 2725 0.0142321 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101031002 3554 0.0185618 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101031003 5246 0.0273988 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101031004 3389 0.0177001 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101041001 1800 0.0094010 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101041002 2538 0.0132555 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101041003 3855 0.0201339 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101041004 5663 0.0295767 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101041005 4162 0.0217373 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101041006 2689 0.0140441 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101051001 3296 0.0172144 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101051002 4465 0.0233198 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101051003 4656 0.0243174 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101051004 2097 0.0109522 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101051005 3569 0.0186402 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101051006 2741 0.0143157 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101061001 1625 0.0084871 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101061002 4767 0.0248971 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101061003 4826 0.0252053 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101061004 4077 0.0212934 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101061005 2166 0.0113126 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101071001 2324 0.0121378 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101071002 2801 0.0146291 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101071003 3829 0.0199981 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101071004 1987 0.0103777 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101081001 5133 0.0268087 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101081002 3233 0.0168853 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101081003 2122 0.0110828 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101081004 2392 0.0124929 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092001 57 0.0002977 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092004 247 0.0012900 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092005 76 0.0003969 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092006 603 0.0031494 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092007 84 0.0004387 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092010 398 0.0020787 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092012 58 0.0003029 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092014 23 0.0001201 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092016 20 0.0001045 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092017 8 0.0000418 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092018 74 0.0003865 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092019 25 0.0001306 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092021 177 0.0009244 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092022 23 0.0001201 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092023 288 0.0015042 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092024 14 0.0000731 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101092901 30 0.0001567 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101101001 2672 0.0139553 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101101002 4398 0.0229699 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101101003 4524 0.0236280 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101101004 3544 0.0185096 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101101005 4911 0.0256492 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101101006 3688 0.0192617 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111001 3886 0.0202958 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111002 2312 0.0120751 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111003 4874 0.0254560 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111004 4543 0.0237272 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111005 4331 0.0226200 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111006 3253 0.0169898 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111007 4639 0.0242286 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111008 4881 0.0254925 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111009 5006 0.0261454 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111010 366 0.0019115 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111011 4351 0.0227244 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111012 2926 0.0152819 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111013 3390 0.0177053 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101111014 2940 0.0153550 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101112003 33 0.0001724 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101112013 104 0.0005432 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101112019 34 0.0001776 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101112025 21 0.0001097 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101112901 6 0.0000313 94897 96571 Iquique 354820.7 2017 191468 67936815240
01101 1101991999 1062 0.0055466 94897 96571 Iquique 354820.7 2017 191468 67936815240
01107 1107011001 4104 0.0378685 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107011002 4360 0.0402307 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107011003 8549 0.0788835 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107012003 3 0.0000277 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107012901 17 0.0001569 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021001 6701 0.0618316 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021002 3971 0.0366413 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021003 6349 0.0585836 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021004 5125 0.0472895 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021005 4451 0.0410704 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021006 3864 0.0356540 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021007 5235 0.0483045 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107021008 4566 0.0421315 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107031001 4195 0.0387082 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107031002 7099 0.0655040 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107031003 4720 0.0435525 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107032005 38 0.0003506 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107032006 2399 0.0221361 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107032008 4 0.0000369 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107041001 3630 0.0334948 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397
01107 1107041002 5358 0.0494394 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397


3 Ingresos expandidos por zona y el promedio de los ingresos por zona:

Determinamos los ingresos expandidos por zona y el promedio de los ingresos por zona de acuerdo a las siguientes ecuaciones:

\[ i\_e\_por\_zona = i\_e * p \]

\[ i\_promedio\_por\_zona = \dfrac{i\_e\_por\_zona} {hbtes\_por\_zona} \]


h_y_m_comuna_corr_f$i_e_por_zona <- h_y_m_comuna_corr_f$Ingresos_expandidos*h_y_m_comuna_corr_f$p

h_y_m_comuna_corr_f$i_por_zona_prom <- h_y_m_comuna_corr_f$i_e_por_zona/h_y_m_comuna_corr_f$hbtes_por_zona
head(h_y_m_comuna_corr_f,5)
##   código       zona hbtes_por_zona            p Hombres Mujeres comuna.x
## 1  01101 1101011001           2491 0.0130100069   94897   96571  Iquique
## 2  01101 1101011002           1475 0.0077036372   94897   96571  Iquique
## 3  01101 1101021001           1003 0.0052384733   94897   96571  Iquique
## 4  01101 1101021002             54 0.0002820315   94897   96571  Iquique
## 5  01101 1101021003           2895 0.0151200201   94897   96571  Iquique
##   promedio_i  año personas Ingresos_expandidos i_e_por_zona i_por_zona_prom
## 1   354820.7 2017   191468         67936815240    883858435        354820.7
## 2   354820.7 2017   191468         67936815240    523360575        354820.7
## 3   354820.7 2017   191468         67936815240    355885191        354820.7
## 4   354820.7 2017   191468         67936815240     19160319        354820.7
## 5   354820.7 2017   191468         67936815240   1027206009        354820.7

Queremos obtener el ingreso promedio de los hombres por zona.

Entonces debemos calcular la p pero de los hombres y dividir por los hbtes_por_zona hombres:

Cálculo de p de hombres y mujeres:

h_y_m_comuna_corr_f$p_h <- h_y_m_comuna_corr_f$Hombres *  h_y_m_comuna_corr_f$p/(h_y_m_comuna_corr_f$Hombres  + h_y_m_comuna_corr_f$Mujeres)

h_y_m_comuna_corr_f$p_m <- h_y_m_comuna_corr_f$p - h_y_m_comuna_corr_f$p_h
head(h_y_m_comuna_corr_f,5)
##   código       zona hbtes_por_zona            p Hombres Mujeres comuna.x
## 1  01101 1101011001           2491 0.0130100069   94897   96571  Iquique
## 2  01101 1101011002           1475 0.0077036372   94897   96571  Iquique
## 3  01101 1101021001           1003 0.0052384733   94897   96571  Iquique
## 4  01101 1101021002             54 0.0002820315   94897   96571  Iquique
## 5  01101 1101021003           2895 0.0151200201   94897   96571  Iquique
##   promedio_i  año personas Ingresos_expandidos i_e_por_zona i_por_zona_prom
## 1   354820.7 2017   191468         67936815240    883858435        354820.7
## 2   354820.7 2017   191468         67936815240    523360575        354820.7
## 3   354820.7 2017   191468         67936815240    355885191        354820.7
## 4   354820.7 2017   191468         67936815240     19160319        354820.7
## 5   354820.7 2017   191468         67936815240   1027206009        354820.7
##            p_h          p_m
## 1 0.0064481304 0.0065618765
## 2 0.0038181422 0.0038854949
## 3 0.0025963367 0.0026421366
## 4 0.0001397828 0.0001422486
## 5 0.0074939130 0.0076261070

Calculo de hbtes_por_zona hombres y mujeres:

h_y_m_comuna_corr_f$hbtes_por_zona_h <- h_y_m_comuna_corr_f$Hombres*h_y_m_comuna_corr_f$hbtes_por_zona/(h_y_m_comuna_corr_f$Hombres+h_y_m_comuna_corr_f$Mujeres)

h_y_m_comuna_corr_f$hbtes_por_zona_m <- h_y_m_comuna_corr_f$Mujeres*h_y_m_comuna_corr_f$hbtes_por_zona/(h_y_m_comuna_corr_f$Hombres+h_y_m_comuna_corr_f$Mujeres)
head(h_y_m_comuna_corr_f,5)
##   código       zona hbtes_por_zona            p Hombres Mujeres comuna.x
## 1  01101 1101011001           2491 0.0130100069   94897   96571  Iquique
## 2  01101 1101011002           1475 0.0077036372   94897   96571  Iquique
## 3  01101 1101021001           1003 0.0052384733   94897   96571  Iquique
## 4  01101 1101021002             54 0.0002820315   94897   96571  Iquique
## 5  01101 1101021003           2895 0.0151200201   94897   96571  Iquique
##   promedio_i  año personas Ingresos_expandidos i_e_por_zona i_por_zona_prom
## 1   354820.7 2017   191468         67936815240    883858435        354820.7
## 2   354820.7 2017   191468         67936815240    523360575        354820.7
## 3   354820.7 2017   191468         67936815240    355885191        354820.7
## 4   354820.7 2017   191468         67936815240     19160319        354820.7
## 5   354820.7 2017   191468         67936815240   1027206009        354820.7
##            p_h          p_m hbtes_por_zona_h hbtes_por_zona_m
## 1 0.0064481304 0.0065618765       1234.61062       1256.38938
## 2 0.0038181422 0.0038854949        731.05206        743.94794
## 3 0.0025963367 0.0026421366        497.11540        505.88460
## 4 0.0001397828 0.0001422486         26.76394         27.23606
## 5 0.0074939130 0.0076261070       1434.84454       1460.15546


Cálculo del ingreso promedio de los hombres a nivel zonal:

# multiplicamos los ingresos expandidos por la proporcion de hombres a nivel zonal:
h_y_m_comuna_corr_f$i_e_por_zona_h <- h_y_m_comuna_corr_f$Ingresos_expandidos*h_y_m_comuna_corr_f$p_h
# multiplicamos los ingresos expandidos por la proporcion de mujeres a nivel zonal:
h_y_m_comuna_corr_f$i_e_por_zona_m <- h_y_m_comuna_corr_f$Ingresos_expandidos*h_y_m_comuna_corr_f$p_m
# La multiplicacion de los ingresos expandidos por la proporcion de hombres a nivel zonal lo dividimos por la cantidad de hombres a nivel zonal:
h_y_m_comuna_corr_f$i_por_zona_prom_h <- h_y_m_comuna_corr_f$i_e_por_zona_h/h_y_m_comuna_corr_f$hbtes_por_zona_h
r3_100 <- h_y_m_comuna_corr_f[c(1:100),]
kbl(r3_100) %>%
  kable_styling(bootstrap_options = c("striped", "hover")) %>%
  kable_paper() %>%
  scroll_box(width = "100%", height = "300px")
código zona hbtes_por_zona p Hombres Mujeres comuna.x promedio_i año personas Ingresos_expandidos i_e_por_zona i_por_zona_prom p_h p_m hbtes_por_zona_h hbtes_por_zona_m i_e_por_zona_h i_e_por_zona_m i_por_zona_prom_h
01101 1101011001 2491 0.0130100 94897 96571 Iquique 354820.7 2017 191468 67936815240 883858434.6 354820.7 0.0064481 0.0065619 1234.610624 1256.389376 438065441.1 445792993.6 354820.7
01101 1101011002 1475 0.0077036 94897 96571 Iquique 354820.7 2017 191468 67936815240 523360574.5 354820.7 0.0038181 0.0038855 731.052056 743.947944 259392423.0 263968151.5 354820.7
01101 1101021001 1003 0.0052385 94897 96571 Iquique 354820.7 2017 191468 67936815240 355885190.7 354820.7 0.0025963 0.0026421 497.115398 505.884602 176386847.6 179498343.1 354820.7
01101 1101021002 54 0.0002820 94897 96571 Iquique 354820.7 2017 191468 67936815240 19160319.3 354820.7 0.0001398 0.0001422 26.763940 27.236060 9496400.6 9663918.8 354820.7
01101 1101021003 2895 0.0151200 94897 96571 Iquique 354820.7 2017 191468 67936815240 1027206008.9 354820.7 0.0074939 0.0076261 1434.844543 1460.155457 509112586.1 518093422.9 354820.7
01101 1101021004 2398 0.0125243 94897 96571 Iquique 354820.7 2017 191468 67936815240 850860106.9 354820.7 0.0062074 0.0063169 1188.517173 1209.482827 421710529.0 429149577.9 354820.7
01101 1101021005 4525 0.0236332 94897 96571 Iquique 354820.7 2017 191468 67936815240 1605563796.4 354820.7 0.0117133 0.0119199 2242.719018 2282.280982 795763195.9 809800600.5 354820.7
01101 1101031001 2725 0.0142321 94897 96571 Iquique 354820.7 2017 191468 67936815240 966886485.1 354820.7 0.0070539 0.0071783 1350.587696 1374.412304 479216510.2 487669974.9 354820.7
01101 1101031002 3554 0.0185618 94897 96571 Iquique 354820.7 2017 191468 67936815240 1261032869.0 354820.7 0.0091998 0.0093621 1761.463733 1792.536267 625003844.9 636029024.1 354820.7
01101 1101031003 5246 0.0273988 94897 96571 Iquique 354820.7 2017 191468 67936815240 1861389541.6 354820.7 0.0135796 0.0138192 2600.067176 2645.932824 922557729.4 938831812.2 354820.7
01101 1101031004 3389 0.0177001 94897 96571 Iquique 354820.7 2017 191468 67936815240 1202487448.8 354820.7 0.0087727 0.0089274 1679.685028 1709.314972 595987065.4 606500383.5 354820.7
01101 1101041001 1800 0.0094010 94897 96571 Iquique 354820.7 2017 191468 67936815240 638677311.3 354820.7 0.0046594 0.0047416 892.131322 907.868678 316546685.6 322130625.6 354820.7
01101 1101041002 2538 0.0132555 94897 96571 Iquique 354820.7 2017 191468 67936815240 900535008.9 354820.7 0.0065698 0.0066857 1257.905164 1280.094836 446330826.8 454204182.1 354820.7
01101 1101041003 3855 0.0201339 94897 96571 Iquique 354820.7 2017 191468 67936815240 1367833908.3 354820.7 0.0099789 0.0101550 1910.647915 1944.352085 677937485.1 689896423.2 354820.7
01101 1101041004 5663 0.0295767 94897 96571 Iquique 354820.7 2017 191468 67936815240 2009349785.4 354820.7 0.0146591 0.0149177 2806.744265 2856.255735 995891044.9 1013458740.5 354820.7
01101 1101041005 4162 0.0217373 94897 96571 Iquique 354820.7 2017 191468 67936815240 1476763871.9 354820.7 0.0107736 0.0109637 2062.805868 2099.194132 731926280.9 744837591.0 354820.7
01101 1101041006 2689 0.0140441 94897 96571 Iquique 354820.7 2017 191468 67936815240 954112938.9 354820.7 0.0069607 0.0070835 1332.745070 1356.254930 472885576.5 481227362.4 354820.7
01101 1101051001 3296 0.0172144 94897 96571 Iquique 354820.7 2017 191468 67936815240 1169489121.1 354820.7 0.0085319 0.0086824 1633.591577 1662.408423 579632153.3 589856967.8 354820.7
01101 1101051002 4465 0.0233198 94897 96571 Iquique 354820.7 2017 191468 67936815240 1584274552.7 354820.7 0.0115580 0.0117619 2212.981308 2252.018692 785211639.7 799062913.0 354820.7
01101 1101051003 4656 0.0243174 94897 96571 Iquique 354820.7 2017 191468 67936815240 1652045311.8 354820.7 0.0120524 0.0122650 2307.646353 2348.353647 818800760.2 833244551.6 354820.7
01101 1101051004 2097 0.0109522 94897 96571 Iquique 354820.7 2017 191468 67936815240 744059067.6 354820.7 0.0054282 0.0055240 1039.332990 1057.667010 368776888.8 375282178.8 354820.7
01101 1101051005 3569 0.0186402 94897 96571 Iquique 354820.7 2017 191468 67936815240 1266355179.9 354820.7 0.0092386 0.0094016 1768.898160 1800.101840 627641733.9 638713446.0 354820.7
01101 1101051006 2741 0.0143157 94897 96571 Iquique 354820.7 2017 191468 67936815240 972563616.8 354820.7 0.0070953 0.0072204 1358.517752 1382.482248 482030258.5 490533358.2 354820.7
01101 1101061001 1625 0.0084871 94897 96571 Iquique 354820.7 2017 191468 67936815240 576583683.8 354820.7 0.0042064 0.0042806 805.396332 819.603668 285771313.4 290812370.3 354820.7
01101 1101061002 4767 0.0248971 94897 96571 Iquique 354820.7 2017 191468 67936815240 1691430412.7 354820.7 0.0123397 0.0125574 2362.661118 2404.338882 838321139.1 853109273.5 354820.7
01101 1101061003 4826 0.0252053 94897 96571 Iquique 354820.7 2017 191468 67936815240 1712364835.6 354820.7 0.0124924 0.0127128 2391.903200 2434.096800 848696836.1 863667999.6 354820.7
01101 1101061004 4077 0.0212934 94897 96571 Iquique 354820.7 2017 191468 67936815240 1446604110.0 354820.7 0.0105536 0.0107398 2020.677445 2056.322555 716978243.0 729625867.0 354820.7
01101 1101061005 2166 0.0113126 94897 96571 Iquique 354820.7 2017 191468 67936815240 768541697.9 354820.7 0.0056068 0.0057058 1073.531358 1092.468642 380911178.4 387630519.5 354820.7
01101 1101071001 2324 0.0121378 94897 96571 Iquique 354820.7 2017 191468 67936815240 824603373.0 354820.7 0.0060158 0.0061220 1151.840663 1172.159337 408696943.0 415906430.0 354820.7
01101 1101071002 2801 0.0146291 94897 96571 Iquique 354820.7 2017 191468 67936815240 993852860.5 354820.7 0.0072506 0.0073785 1388.255463 1412.744537 492581814.7 501271045.8 354820.7
01101 1101071003 3829 0.0199981 94897 96571 Iquique 354820.7 2017 191468 67936815240 1358608569.3 354820.7 0.0099116 0.0100865 1897.761574 1931.238426 673365144.1 685243425.3 354820.7
01101 1101071004 1987 0.0103777 94897 96571 Iquique 354820.7 2017 191468 67936815240 705028787.5 354820.7 0.0051435 0.0052342 984.813854 1002.186146 349432369.1 355596418.4 354820.7
01101 1101081001 5133 0.0268087 94897 96571 Iquique 354820.7 2017 191468 67936815240 1821294799.3 354820.7 0.0132871 0.0135215 2544.061154 2588.938846 902685631.9 918609167.4 354820.7
01101 1101081002 3233 0.0168853 94897 96571 Iquique 354820.7 2017 191468 67936815240 1147135415.2 354820.7 0.0083689 0.0085165 1602.366980 1630.633020 568553019.3 578582395.9 354820.7
01101 1101081003 2122 0.0110828 94897 96571 Iquique 354820.7 2017 191468 67936815240 752929585.8 354820.7 0.0054929 0.0055898 1051.723703 1070.276297 373173370.5 379756215.3 354820.7
01101 1101081004 2392 0.0124929 94897 96571 Iquique 354820.7 2017 191468 67936815240 848731182.5 354820.7 0.0061919 0.0063011 1185.543402 1206.456598 420655373.4 428075809.2 354820.7
01101 1101092001 57 0.0002977 94897 96571 Iquique 354820.7 2017 191468 67936815240 20224781.5 354820.7 0.0001475 0.0001502 28.250825 28.749175 10023978.4 10200803.1 354820.7
01101 1101092004 247 0.0012900 94897 96571 Iquique 354820.7 2017 191468 67936815240 87640719.9 354820.7 0.0006394 0.0006507 122.420243 124.579757 43437239.6 44203480.3 354820.7
01101 1101092005 76 0.0003969 94897 96571 Iquique 354820.7 2017 191468 67936815240 26966375.4 354820.7 0.0001967 0.0002002 37.667767 38.332233 13365304.5 13601070.9 354820.7
01101 1101092006 603 0.0031494 94897 96571 Iquique 354820.7 2017 191468 67936815240 213956899.3 354820.7 0.0015609 0.0015884 298.863993 304.136007 106043139.7 107913759.6 354820.7
01101 1101092007 84 0.0004387 94897 96571 Iquique 354820.7 2017 191468 67936815240 29804941.2 354820.7 0.0002174 0.0002213 41.632795 42.367205 14772178.7 15032762.5 354820.7
01101 1101092010 398 0.0020787 94897 96571 Iquique 354820.7 2017 191468 67936815240 141218649.9 354820.7 0.0010303 0.0010484 197.260148 200.739852 69991989.4 71226660.6 354820.7
01101 1101092012 58 0.0003029 94897 96571 Iquique 354820.7 2017 191468 67936815240 20579602.3 354820.7 0.0001501 0.0001528 28.746454 29.253546 10199837.6 10379764.6 354820.7
01101 1101092014 23 0.0001201 94897 96571 Iquique 354820.7 2017 191468 67936815240 8160876.8 354820.7 0.0000595 0.0000606 11.399456 11.600544 4044763.2 4116113.5 354820.7
01101 1101092016 20 0.0001045 94897 96571 Iquique 354820.7 2017 191468 67936815240 7096414.6 354820.7 0.0000518 0.0000527 9.912570 10.087430 3517185.4 3579229.2 354820.7
01101 1101092017 8 0.0000418 94897 96571 Iquique 354820.7 2017 191468 67936815240 2838565.8 354820.7 0.0000207 0.0000211 3.965028 4.034972 1406874.2 1431691.7 354820.7
01101 1101092018 74 0.0003865 94897 96571 Iquique 354820.7 2017 191468 67936815240 26256733.9 354820.7 0.0001916 0.0001949 36.676510 37.323490 13013586.0 13243147.9 354820.7
01101 1101092019 25 0.0001306 94897 96571 Iquique 354820.7 2017 191468 67936815240 8870518.2 354820.7 0.0000647 0.0000659 12.390713 12.609287 4396481.7 4474036.5 354820.7
01101 1101092021 177 0.0009244 94897 96571 Iquique 354820.7 2017 191468 67936815240 62803268.9 354820.7 0.0004582 0.0004663 87.726247 89.273753 31127090.8 31676178.2 354820.7
01101 1101092022 23 0.0001201 94897 96571 Iquique 354820.7 2017 191468 67936815240 8160876.8 354820.7 0.0000595 0.0000606 11.399456 11.600544 4044763.2 4116113.5 354820.7
01101 1101092023 288 0.0015042 94897 96571 Iquique 354820.7 2017 191468 67936815240 102188369.8 354820.7 0.0007455 0.0007587 142.741012 145.258988 50647469.7 51540900.1 354820.7
01101 1101092024 14 0.0000731 94897 96571 Iquique 354820.7 2017 191468 67936815240 4967490.2 354820.7 0.0000362 0.0000369 6.938799 7.061201 2462029.8 2505460.4 354820.7
01101 1101092901 30 0.0001567 94897 96571 Iquique 354820.7 2017 191468 67936815240 10644621.9 354820.7 0.0000777 0.0000790 14.868855 15.131145 5275778.1 5368843.8 354820.7
01101 1101101001 2672 0.0139553 94897 96571 Iquique 354820.7 2017 191468 67936815240 948080986.5 354820.7 0.0069167 0.0070387 1324.319385 1347.680615 469895968.9 478185017.6 354820.7
01101 1101101002 4398 0.0229699 94897 96571 Iquique 354820.7 2017 191468 67936815240 1560501563.8 354820.7 0.0113845 0.0115854 2179.774197 2218.225803 773429068.6 787072495.3 354820.7
01101 1101101003 4524 0.0236280 94897 96571 Iquique 354820.7 2017 191468 67936815240 1605208975.6 354820.7 0.0117107 0.0119173 2242.223390 2281.776610 795587336.6 809621639.1 354820.7
01101 1101101004 3544 0.0185096 94897 96571 Iquique 354820.7 2017 191468 67936815240 1257484661.7 354820.7 0.0091739 0.0093357 1756.507448 1787.492552 623245252.2 634239409.6 354820.7
01101 1101101005 4911 0.0256492 94897 96571 Iquique 354820.7 2017 191468 67936815240 1742524597.6 354820.7 0.0127125 0.0129367 2434.031624 2476.968376 863644874.0 878879723.6 354820.7
01101 1101101006 3688 0.0192617 94897 96571 Iquique 354820.7 2017 191468 67936815240 1308578846.6 354820.7 0.0095466 0.0097151 1827.877954 1860.122046 648568987.0 660009859.6 354820.7
01101 1101111001 3886 0.0202958 94897 96571 Iquique 354820.7 2017 191468 67936815240 1378833350.9 354820.7 0.0100592 0.0102366 1926.012399 1959.987601 683389122.5 695444228.4 354820.7
01101 1101111002 2312 0.0120751 94897 96571 Iquique 354820.7 2017 191468 67936815240 820345524.2 354820.7 0.0059848 0.0060903 1145.893120 1166.106880 406586631.8 413758892.5 354820.7
01101 1101111003 4874 0.0254560 94897 96571 Iquique 354820.7 2017 191468 67936815240 1729396230.6 354820.7 0.0126167 0.0128393 2415.693369 2458.306631 857138081.0 872258149.6 354820.7
01101 1101111004 4543 0.0237272 94897 96571 Iquique 354820.7 2017 191468 67936815240 1611950569.5 354820.7 0.0117599 0.0119673 2251.640331 2291.359669 798928662.7 813021906.8 354820.7
01101 1101111005 4331 0.0226200 94897 96571 Iquique 354820.7 2017 191468 67936815240 1536728575.0 354820.7 0.0112111 0.0114089 2146.567087 2184.432913 761646497.5 775082077.5 354820.7
01101 1101111006 3253 0.0169898 94897 96571 Iquique 354820.7 2017 191468 67936815240 1154231829.7 354820.7 0.0084206 0.0085692 1612.279551 1640.720449 572070204.7 582161625.1 354820.7
01101 1101111007 4639 0.0242286 94897 96571 Iquique 354820.7 2017 191468 67936815240 1646013359.4 354820.7 0.0120084 0.0122202 2299.220669 2339.779331 815811152.6 830202206.8 354820.7
01101 1101111008 4881 0.0254925 94897 96571 Iquique 354820.7 2017 191468 67936815240 1731879975.7 354820.7 0.0126348 0.0128577 2419.162769 2461.837231 858369095.9 873510879.8 354820.7
01101 1101111009 5006 0.0261454 94897 96571 Iquique 354820.7 2017 191468 67936815240 1776232566.8 354820.7 0.0129584 0.0131870 2481.116333 2524.883667 880351504.6 895881062.1 354820.7
01101 1101111010 366 0.0019115 94897 96571 Iquique 354820.7 2017 191468 67936815240 129864386.6 354820.7 0.0009474 0.0009641 181.400036 184.599964 64364492.7 65499893.9 354820.7
01101 1101111011 4351 0.0227244 94897 96571 Iquique 354820.7 2017 191468 67936815240 1543824989.6 354820.7 0.0112629 0.0114616 2156.479657 2194.520343 765163682.9 778661306.7 354820.7
01101 1101111012 2926 0.0152819 94897 96571 Iquique 354820.7 2017 191468 67936815240 1038205451.5 354820.7 0.0075742 0.0077078 1450.209027 1475.790973 514564223.4 523641228.1 354820.7
01101 1101111013 3390 0.0177053 94897 96571 Iquique 354820.7 2017 191468 67936815240 1202842269.5 354820.7 0.0087753 0.0089301 1680.180657 1709.819343 596162924.6 606679344.9 354820.7
01101 1101111014 2940 0.0153550 94897 96571 Iquique 354820.7 2017 191468 67936815240 1043172941.7 354820.7 0.0076104 0.0077446 1457.147826 1482.852174 517026253.2 526146688.5 354820.7
01101 1101112003 33 0.0001724 94897 96571 Iquique 354820.7 2017 191468 67936815240 11709084.0 354820.7 0.0000854 0.0000869 16.355741 16.644259 5803355.9 5905728.1 354820.7
01101 1101112013 104 0.0005432 94897 96571 Iquique 354820.7 2017 191468 67936815240 36901355.8 354820.7 0.0002692 0.0002740 51.545365 52.454635 18289364.1 18611991.7 354820.7
01101 1101112019 34 0.0001776 94897 96571 Iquique 354820.7 2017 191468 67936815240 12063904.8 354820.7 0.0000880 0.0000896 16.851369 17.148631 5979215.2 6084689.6 354820.7
01101 1101112025 21 0.0001097 94897 96571 Iquique 354820.7 2017 191468 67936815240 7451235.3 354820.7 0.0000544 0.0000553 10.408199 10.591801 3693044.7 3758190.6 354820.7
01101 1101112901 6 0.0000313 94897 96571 Iquique 354820.7 2017 191468 67936815240 2128924.4 354820.7 0.0000155 0.0000158 2.973771 3.026229 1055155.6 1073768.8 354820.7
01101 1101991999 1062 0.0055466 94897 96571 Iquique 354820.7 2017 191468 67936815240 376819613.6 354820.7 0.0027491 0.0027976 526.357480 535.642520 186762544.5 190057069.1 354820.7
01107 1107011001 4104 0.0378685 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1239134755.8 301933.4 0.0189407 0.0189278 2052.700568 2051.299432 619778902.7 619355853.2 301933.4
01107 1107011002 4360 0.0402307 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1316429711.4 301933.4 0.0201222 0.0201085 2180.744268 2179.255732 658439574.9 657990136.4 301933.4
01107 1107011003 8549 0.0788835 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 2581228807.9 301933.4 0.0394552 0.0394283 4275.959345 4273.040655 1291055028.9 1290173779.0 301933.4
01107 1107012003 3 0.0000277 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 905800.3 301933.4 0.0000138 0.0000138 1.500512 1.499488 453054.8 452745.5 301933.4
01107 1107012901 17 0.0001569 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 5132868.1 301933.4 0.0000785 0.0000784 8.502902 8.497098 2567310.3 2565557.9 301933.4
01107 1107021001 6701 0.0618316 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 2023255847.7 301933.4 0.0309264 0.0309052 3351.643885 3349.356115 1011973300.8 1011282546.8 301933.4
01107 1107021002 3971 0.0366413 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1198977611.0 301933.4 0.0183269 0.0183144 1986.177864 1984.822136 599693475.2 599284135.7 301933.4
01107 1107021003 6349 0.0585836 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1916975283.8 301933.4 0.0293018 0.0292818 3175.583797 3173.416203 958814876.4 958160407.4 301933.4
01107 1107021004 5125 0.0472895 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1547408777.7 301933.4 0.0236528 0.0236367 2563.374856 2561.625144 773968537.1 773440240.6 301933.4
01107 1107021005 4451 0.0410704 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1343905652.6 301933.4 0.0205422 0.0205282 2226.259802 2224.740198 672182235.8 671723416.8 301933.4
01107 1107021006 3864 0.0356540 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1166670735.0 301933.4 0.0178331 0.0178209 1932.659599 1931.340401 583534522.4 583136212.6 301933.4
01107 1107021007 5235 0.0483045 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1580621453.9 301933.4 0.0241605 0.0241440 2618.393633 2616.606367 790580544.7 790040909.2 301933.4
01107 1107021008 4566 0.0421315 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1378627995.9 301933.4 0.0210729 0.0210586 2283.779432 2282.220568 689549334.7 689078661.2 301933.4
01107 1107031001 4195 0.0387082 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1266610697.1 301933.4 0.0193607 0.0193475 2098.216102 2096.783898 633521563.5 633089133.6 301933.4
01107 1107031002 7099 0.0655040 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 2143425348.8 301933.4 0.0327632 0.0327408 3550.711825 3548.288175 1072078564.8 1071346784.1 301933.4
01107 1107031003 4720 0.0435525 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1425125742.6 301933.4 0.0217837 0.0217688 2360.805721 2359.194279 712806145.3 712319597.2 301933.4
01107 1107032005 38 0.0003506 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 11473470.0 301933.4 0.0001754 0.0001753 19.006487 18.993513 5738693.5 5734776.4 301933.4
01107 1107032006 2399 0.0221361 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 724338274.7 301933.4 0.0110718 0.0110643 1199.909518 1199.090482 362292784.5 362045490.2 301933.4
01107 1107032008 4 0.0000369 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1207733.7 301933.4 0.0000185 0.0000184 2.000683 1.999317 604073.0 603660.7 301933.4
01107 1107041001 3630 0.0334948 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1096018314.7 301933.4 0.0167531 0.0167417 1815.619654 1814.380346 548196251.6 547822063.1 301933.4
01107 1107041002 5358 0.0494394 54206 54169 Alto Hospicio 301933.4 2017 108375 32722034397 1617759264.6 301933.4 0.0247282 0.0247113 2679.914630 2678.085370 809155789.6 808603475.0 301933.4

4 Conclusiones

El ingreso promedio por zona de los hombres (i_por_zona_prom_h) resulta ser el mismo siempre, por lo que no podemos expandir el promedio del ingreso a nivel comunal por categorías de población, en éste caso, sexo.