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{
    "id": 451,
    "url": "https://info.mzalendo.com/api/v0.1/hansard/entries/451/?format=api",
    "text_counter": 451,
    "type": "speech",
    "speaker_name": "Dr. Kones",
    "speaker_title": "",
    "speaker": {
        "id": 53,
        "legal_name": "Julius Kipyegon Kones",
        "slug": "julius-kones"
    },
    "content": "Thank you, Mr. Temporary Deputy Speaker, Sir. I rise to second the Motion. I want to thank my colleague, hon. Otichilo, for coming up with this Motion. I remember during the time we were discussing the CDF allocations, I was one of the people who stood here and criticized the allocations. When I looked at the figures that had been tabled here on poverty indices in our constituencies, I was not convinced that those figures were right. There are very basic things which you can use to determine whether figures are right or not. If you are measuring certain parameters like poverty in areas which are fairly uniform and you find that in one area you are getting a figure of 60 per cent poverty rate, and in another area, which is less or more the same, you are getting a figure of 30 per cent poverty rate, then that gives you a cause for alarm. I used my constituency to explain that. In the revised figures, the current poverty rate is given as 34 per cent while in a neighbouring constituency, which I will not name, with very similar geographical factors and culture, the poverty rate there was given as 67 per cent. Then you wonder what accounts for this difference of over 30 per cent between the two areas. Probably, one of the reasons could be on the designs. The other area which we really want to care for in future is on the processing process, namely, the process of computing these figures. Is it free from manipulations? This will go to the Kenya Bureau of Statistics. Hon. Otichilo has gone through this report which was the basis of our poverty indices. The survey was conducted in 2005/2006 which is a long time ago. Apart from the drawbacks of the sampling design at that time, like few households and sampling only in a particular area, I want to advise that for purposes of such an index, we do not do a simple random. This is one of those indices that you must do 100 per cent household survey as opposed to just ten households per district. The Kenya Integrated Household Budget Survey used computed poverty index based on the expenditures at household level. You know that expenditures are affected by"
}