Interactive Data Visualization

Row

Sudan

war

displaced

6.4

displaced

0.5

displaced household

1.2

cross border

1.7

camps

396000

people killed

13000

Row

IDPs By State

shelters - (critical shelters includes 300 informal settlements)

State of orgin to state of displacement (flow x 10.000 and > 1000)

Maps

Row

Migrationflows intern displaced persons

#map war sudan

warring groups in Sudan

Title1

Title1

Migration flow

Row

Sudan

Title

Title

orgin destination matrix

Demographics

row

Max Failure Month

1.2

population

47.2

total area

728

Row

population Sudan 2024

POPULATIE 2018 (x 1000)

AGE GROUPS (0-15 red) (15-64 green) (> 64 grey)

Row

distance between coordinates of Kharthoum and the coordinates other states

Title2

Title2

displaced persons as percentage of the population

Title4

Title4

annual grow population Sudan (1953 - 2023)

Statistics

column

sex ratio: In Sudan (total population) lower with 1.015 male per 1000 female than the estimated world sex ratio (approximately 1.016). It is a small difference and the odds ratio test shows a p value bigger than 0.05, not a significant difference. Thats not the case for the ratios of the population of Sudan and displaced persons within Sudan. The proportions of females are 0,49 for Sudan and 0,52 within the group displaced persons. The odd ratio 1.12 and p value less than 0.05”

$data
       ratio
country  Female    male   Total
  World 4039671 4079164 8118835
  Sudan   23418   23780   47198
  Total 4063089 4102944 8166033

$measure
       odds ratio with 95% C.I.
country estimate    lower   upper
  World 1.000000       NA      NA
  Sudan 1.005626 0.987619 1.02401

$p.value
       two-sided
country midp.exact fisher.exact chi.square
  World         NA           NA         NA
  Sudan  0.5433745    0.5453484  0.5433666

$correction
[1] FALSE

attr(,"method")
[1] "median-unbiased estimate & mid-p exact CI"

internal displaced 30 % stays in own state and 87 % within a range of 500 km from their own state. Largest number of idp 2,1 milion in the distance category 300 - 400 km are idp’s from Kharthoum (N=2,08 M) to several other states.

regression fit lines. The qudratic regression line (light blue)follows the same line as the annual real growline (black dots) of the population of Sudan. In spss r squared = 1 which means that the quadratic lijn is identical to the grow line. Equation quadratic line (y = 5,74 + 0,15x + 0,00597x squared). For the linear regression fitline (red) r squared is 0,965. Which means that is also a good line for approximation of the annual grow of the population of Sudan.

About Report

Created : april 2024 remarks

Death rates

It is very difficult to understand mortality patterns. The latest official death rates of the Worldbank are from the year 2021. The annual death rate for Sudan in 2021 was 7 per 1000 people. In that year the death rate for the Netherlands was 10 per 1000 people. Although the life expectancy by birth is higher for the Dutch people. The most likely explantion is that the Netherlands is one of the most rapidly aging countries in Western Europe. The median age in Sudan is 16.8 and in the Netherlands 42 in 2023.

But to monitor and judge mortality in complex humanitarian emergency is difficult. Figures fluctuate and mostly reported per 10.000 a day. So reported Oxam International for Gaza 250 deaths a day and compared this with other conflict areas like Syrie and Sudan. This report mentioned 51.6 deaths a day for Sudan. Only they did not mention the denominator of the rate or the used method. I suppose 10.000 people per day. Medicins Sans Frontiers (MSF) reported in januari 2024 a death rate of 2.25 deaths a day per 10.000 within three camps in Sudan. Converted to a annual death rate per 1000 this means annual 82.1 per 1000 people living in a champ. C.B Keely et. al (2001) examined mortality patterns in complex humanitarian emergencies, reviewing the state of knowledge and to improve research and insights.They warned that the death rates between refugees within a camp, idps and refugees in general life under different circumstances and has a huge impact on their well being and living conditions.

Distance matrix

The distances in kilometers and based on the distance between de coordinates of the states. So the distance of the straight lijn between two points

Migration flow map

the migration flow map is a spatial one-to-many flow layout algorithm using triangulation, approximate Steiner trees. There are many papers and publications about edge bundling for example H.Zou et.al (2013),Edge Bundling in Information Visualization.

Regression fitlines

To do the regression analyse I change the different years in year one etc. to get a real nummeric value in comparision to the population figures who are also a numeric value. In the quadric equation x=1 means year one and x= 2 year two.

Odds and Log odds ratio

The log of the odds ratio is called the log-odds ratio. The log odds ratio is more symmetric and easier to interpret in statistics. Also it is simple to convert an odd ratio to a log odd ratio with te log and exponent function on a calculator. In the case of Sudan and the idps the odds ratio is 1.12 so the log odds ratio is 0.113 and his standard error 0.0229 and a Chi-Square 24,6 far above the critical value 3.8