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The Politics of County Economies: Why Central Kenya MPs are wrong

DAVID NDII pulls apart the old myth of Central Kenya’s economic dominance.

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The Politics of County Economies : Why Central Kenya MPs are wrong
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One of our problems is to decide how much priority we should give in investing in less developed provinces. To make the economy as a whole grow as fast as possible, development money should be invested where it will yield the largest increase in output. This approach will clearly favour the development of areas having abundant natural resources, good land and rainfall, transport and power facilities, and people receptive to and active in development.” – Sessional Paper No. 10 of 1965 on African Socialism and its Application to Planning in Kenya.

Can Central Kenya contribute 60 percent of Kenya’s GDP, as recently claimed, nay, asserted, by the region’s members of parliament? If 12 percent (old Central Province) or 20 percent (including Meru, Embu, Tharaka Nithi and Laikipia) percent of the work force is responsible for 60 percent of the economy, what does that say about the rest of the country. What would make Kikuyus or GEMA community four or five times more productive than other Kenyans?

The word “contribute” is a loaded one. It suggests that there is a common kitty called economy to which some people put in more than others. This is of course not the case. The economy is the sum total of the goods and services produced in the country. When Nyandarua grows potatoes that are consumed in Nairobi: which county has contributed more to the other’s economy? Neither—they have exchanged value, with each profiting from the other. The argument can also be a self defeating one. It justifies domestic import substitution. If we can champion “buy Kenya build Kenya”, why not “Buy Kilifi, build Kilifi”?

The word “contribute” is a loaded one. It suggests that there is a common kitty called ‘economy’ to which some people put in more than others.

The Central Kenya MPs are most likely to be under the impression that the region contributes more to the tax kitty. This is also a fallacy. The tax base and the economy do not overlap. Ideally they should but they do not. In an economy with our structure we have, a large informal sector and largely untaxed smallholder agriculture account for half the economy, the correlation between the economy and tax base is pretty low. The main sources of tax are profits, payroll taxes and consumption taxes (excise and VAT).

The Central Kenya MPs are most likely to be under the impression that the region contributes more to the tax kitty. This is also a fallacy.

The regions that contribute more to the tax base are those with larger corporatized economy. Though I do not have figures, I would expect the coastal counties to constitute a larger tax yield (revenue to GDP ratio) than central Kenya on account of high concentration of the corporatized economy— tourism, manufacturing, mining and logistics industry. The tourism establishments for example sell more highly taxed alcoholic beverages than consumed in central Kenya. They pay more VAT on food, and their employees pay PAYE which the presumably more productive and prosperous farmers of Central Kenya do not. If Central Kenya is so much more prosperous, the more pertinent political question would be whether it is paying its fair share of tax.

That cleared up, we can now turn to the question of county economies. Which counties have the strongest economies? The simple answer is we do not know. The Kenya National Bureau of Statistics (KNBS), the national statistics agency, only publishes national accounts for the whole economy. It is now publishing “County Statistical Abstracts” but these do not include GDP. Six years on, the counties have not found it worthwhile to measure the sizes of their economies even though this is part of their mandate, and it is not particularly difficult or expensive.

In response, I posted a graphic with two sets of figures of the relative size of county economies. One is an estimate of county GDPs computed by World Bank researchers, and published in a paper titled Bright Lights, Big Cities: Measuring national & sub-national economic growth from outer space in Africa, with an application to Kenya and Rwanda.

Which counties have the strongest economies? The simple answer is we do not know. The Kenya National Bureau of Statistics (KNBS) only publishes national accounts for the whole economy. It is now publishing “County Statistical Abstracts” but these do not include GDP. Six years on, the counties have not found it worthwhile to measure the sizes of their economies even though this is part of their mandate, and it is not particularly difficult or expensive.

This methodology is actually more technically sophisticated than it sounds. If one looks at a satellite image of earth taken at night, it becomes apparent that the night lights closely mirror the economic geography of the world. In fact, because the intensity of lights is captured accurately up to a square kilometre, they provide much more detailed geographical coverage than statisticians use to calculate national GDP. Moreover, night lights provide real time data while statistical samples can fall hopelessly out of date, as revealed by the latest rounds of “rebasing” which saw upward GDP revisions ranging from 13 percent in Uganda, 30 percent in Tanzania, to 90 percent in Nigeria. One only frowns at the night lights if they do not know what statisticians do in the kitchen. But as it turns out in fact that over time, the night lights estimate tracks the statistically estimated GDP growth quite well.

For the second series, I used household consumption expenditure shares from the most recent household budget survey data published by the KNBS, the Kenya Integrated Household Budget Survey (KIHBS 2015/16). This is the survey data that is used to measure poverty as well as to update the consumption basket used to calculate the rate of inflation. Household consumption expenditure is the largest component of GDP. Although the percentage is bound to vary from county to county, we have no reason to expect that to be very large. In general, survey data is more reliable than the methods used to estimate GDP, hence it provides a good check for the night lights data.

Another useful source of information is the relative size of a county’s workforce. In a fully integrated economy with free movement of labour and capital, the size of a region’s economy would be proportional to the labour force: if County A accounts for 5 percent of the workforce, then it should also account for 5 percent of GDP. This is because labour and capital will move to where the opportunities are until capital per worker, and in effect production per worker is the same across the whole economy.

Readers of this column may recall that I used this argument to respond to the urban legend, which still persists, that Nairobi accounts for 60 percent of GDP (people who make up numbers seem to like 60 percent). I argued that Nairobi’s GDP was at best between 15 and 20 percent of GDP. This was based on Nairobi accounting for 10 percent of the national labour force, and allowing for more capital than the national average. As we will see shortly, the estimate was overgenerous.

The conventional definition of labour force is population aged 15-64. Ideally, we should use actual participation rates because many young people between 15 – 24 are in full time education, and many older people also work full time, but this data is not readily available on a county by county basis. We will just have to assume that the youth and older people’s participation rates do not vary too much across counties. I use the data published in the Labour Force Survey Report 2015/16, which is part of the KIHBS 2015/16.

We want to see whether the three sources tell the same story. We call this research strategy i.e. cross-validating different data and methodologies, triangulation.

We are in luck. The three sources are remarkably consistent. The correlation between the night lights GDP and household expenditure is 70 percent, between the night lights GDP and labour force is 73 percent, and between household expenditure and labour force shares is 90 percent (see charts). The strong correlation between the night lights GDP and labour force shares tells us that the bright lights GDP is pretty good. We can conclude from these correlations that all these data are telling us the same story. What is the story?

Chart 1

Chart 1

Second, all three tell us that Nairobi has the largest economy as expected, but it is a far cry from 60 percent. The night lights GDP puts it at 12.7 percent, while the expenditure share puts it at 20 percent. But the labour force share weighs in close to the night lights GDP at 12 percent.

The counties with the largest economies according to the night lights GDP are Nairobi(12.5%), Kiambu (11.1) Nakuru (8.5%). Between them, they account for 32% of the GDP.

The household expenditure data have the same order, and their combined share is also about the same (31%) but Nairobi’s share is much bigger (19.8%) while Kiambu and Nakuru are closer at 5.6% and 5.2% respectively. Eight other counties have large economies between 3 and 4 percent of GDP (Nyeri Kilifi, Kajiado, Machakos, Kwale Mombasa and Meru). With the notable exceptions of Nyeri and Kwale, their expenditure shares are also in line with the GDP shares. However, when it comes to the GDP and labour force, Kiambu, Kwale, Nyeri and Nakuru have much larger shares of GDP than their share of the labour force. I will come back to this shortly.

Nairobi has the largest economy as expected, but it is a far cry from 60 percent. The night lights GDP puts it at 12.7 percent, while the expenditure share puts it at 20 percent.

At the other end of the scale, Isiolo, Lamu, and Samburu have the smallest economies accounting for 0.2 percent of the national GDP each, followed by Marsabit, Tharaka-Nithi and Elgeyo Marakwet at 0.4 percent, Nyamira and West Pokot follow at 0.6 percent and Baringo and Tana River, 0.7 percent each, complete the ten smallest county economies. There is very close correspondence between the between the GDP and household expenditure in the small counties.

It’s worth pointing out here that the size of the county’s economy has no bearing on the incomes and well being. Whereas Lamu, Isiolo and Samburu are the smallest counties, Lamu’s incidence of poverty (28.5) percent is well below the national average of 36 percent; both Isiolo (56 percent) and Samburu (75 percent) are much higher. In fact, in terms of incomes and poverty Lamu, the smallest economy compares favorably with Nakuru, the third largest. This should put to rest those who are wont to argue that small counties are not economically viable. The Seychelles (Pop. 100,000, less than Lamu’s 130,000) has an average income ten times Kenya’s.

Chart 2

Chart 2

What explains the large difference between Nairobi’s GDP and household expenditure share.   Why are Kiambu and Nakuru’s GDP estimates so much larger than their shares of the labour force. Are there plausible economic explanations, or is it flaws in the data?

For Nairobi, cost of living is a plausible and likely explanation, in particular housing costs which are much higher than elsewhere. According to a national housing survey conducted by KNBS a few years ago, housing costs for house-renting Nairobi households take 40 percent of expenditures, a third more than the next highest, Mombasa and Kiambu, at 30 percent. Rural house renting households spent an average of 13 percent. Although the report does not give the percentages, we do know that Nairobi has a much larger percentage of renting households than other counties. Overall, 70 percent of urban households are renters, while 90 percent of rural households are owners. You would not know it from listening to Nairobi’s navel-gazing middle class going on about home ownership and mortgage interest. In aggregate 70 percent of Kenyans live in their own homes, and a good percentage of urban renters own decent debt-free rural homes. Home ownership is not a national priority, but I digress.

The large divergence of GDP and labour force shares is perhaps the more economically meaningful and insightful one. The straightforward interpretation of this observation is that the GDP per worker in Kiambu and Nakuru is considerably higher than average. Is this plausible? In the Census of Industrial Production conducted in 2010, Kiambu had 206 factories, second to Nairobi with 1090, out of a national total of 2252 establishments. In effect, Kiambu accounts for close to a fifth of the factories outside Nairobi. This is not a surprise given that Thika and Ruiru are large industrial towns, but even in my rural home I can count least six fairly large factories within shouting distance (4 tea factories, a chicken processing plant, and a dairy processor) and thats not counting the Bata shoe and a couple of other factories in Limuru town.

Nakuru may not count as many factories, only 95, but it certainly has a lot of capital. The country’s entire geothermal electricity industry, the flower industry as well as a very significant hotel industry around Lake Naivasha—that is a fair amount of capital. This ratio seems to be capturing, as it should, the capital intensity of the counties’ economy. If this is indeed what these data are telling us, then it is worthwhile to pay more attention to them, because they are conveying important information about the structure and character of the economy.

In the Census of Industrial Production conducted in 2010, Kiambu had 206 factories, second to Nairobi with 1090, out of a national total of 2252 establishments. In effect, Kiambu accounts for close to a fifth of the factories outside Nairobi.

If capital was evenly distributed across the country, all the ratios would be clustered around around 1. The actual ones range from 0.4 to 2.3. Kiambu’s ratio is the highest at 2.3 followed by Kwale and Nyeri (2) and Nakuru (1.9). There are three more counties with a ratio of 1.5 or higher, that is GDP share is 50 percent more than labour force share, Kajiado, Laikipia and Murang’a. Interestingly, Nairobi is not one of them. In fact, Nairobi is in the middle of the pack with a share just 10 percent higher, alongside Tana River. At the other end of the scale we have Elgeyo Marakwet and Nyamira with a GDP share which is 40 percent of the labour force share, and 12 counties where it is 50 percent. Looking at this pattern, it is readily apparent that the counties at the top are generally wealthier, while those at the bottom are poorer. The wealthier counties have more capital.

We have what looks like credible estimates of county GDP shares, we have each county’s labour force, and we also have the conventional national GDP. With these we are able to compute GDP per worker for each county, which will give us an idea which counties have the strongest economies. Kiambu comes out on top with a 2016 GDP per worker of Sh. 673,000. This is telling us that people in Kiambu produced on average Ksh. 56.000 worth of goods and services per person per month. The ten strongest economies are Kiambu, Kwale, Nyeri, Nakuru, Kajiado, Laikipia, Muranga, Garissa, Kilifi and Machakos.

Chart 3

Chart 3

One of the striking findings is that the big city counties are not among the strongest economies.

Nairobi and Mombasa are about the same at 14th and 15th respectively with a GDP per capita of Sh. 300,000 and Kisumu is 16th with Sh. 263,000. Obviously Kisumu is both urban and rural – Kisumu City on its own would probably be comparable with Nairobi and Mombasa. Still, these data put some question marks on the widely held belief that big cities are the engines of economic growth. To be sure there could be other explanations. The cities, Nairobi in particular could have a larger share of young people in full time education and unemployed, but these are puzzles for curious students to write dissertations on.

One of the striking findings is that the big city counties are not among the strongest economies. Nairobi and Mombasa are about the same at 14th and 15th respectively with a GDP per capita of Sh. 300,000 and Kisumu is 16th with Sh. 263,000.

More significantly perhaps we also do not see an economically dominant region. Kwale’s economy compares favourably with Nyeri, both in absolute size and productivity. Kirinyaga sits next to Wajir in terms of productivity. Makueni is more productive than Nyandarua.

This is not to say that we’ve heard the last of central Kenya politicians’ ethnic chauvinism. As Bertrand Russell observed long ago, a man offered a fact that goes against his instincts will scrutinize it closely, and unless the evidence is overwhelming, refuse to believe it; but offered something which affords a reason for acting in accordance to his instincts, he will accept it even on the slightest evidence.

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David Ndii

David Ndii is a leading Kenyan economist and public intellectual.

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Africa and Palestine: A Noble Legacy That Must Never Be Forgotten

Today’s generation of African leaders should not deviate from that the solidarity between Africa and Palestine. Indeed, writes RAMZY BAROUD If they betray it, they betray themselves, along with the righteous struggles of their own peoples.

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Africa and Palestine: A Noble Legacy That Must Never Be Forgotten
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Europe’s “Scramble for Africa” began in earnest in 1881 but never ended. The attempt at dominating the continent using old and new strategies continues to define the Western relationship with this rich continent. This reality was very apparent when I arrived in Nairobi on June 23. Although I had come to address various Kenyan audiences at universities, public forums and the media, I had also to learn. Kenya, like the rest of Africa, is a source of inspiration for all anti-colonial liberation movements around the world. We Palestinians can learn a great deal from the Kenyan struggle.

Although African countries have fought valiant battles for their freedom against their Western colonisers, neocolonialism now defines the relationship between many independent African countries and their former occupiers. Political meddling, economic control and, at times, military interventions – as in the recent cases of Libya and Mali – point to the unfortunate reality that Africa remains, in myriad ways, hostage to Western priorities, interests and dictates.

In the infamous Berlin Conference of 1884, Western colonial regimes attempted to mediate between the various powers that were competing over Africa’s riches. It apportioned to each a share of the African continent, as if Africa were the property of the West and its white colonists. Millions of Africans died in that protracted, bloody episode unleashed by the West, which shamelessly promoted its genocidal oppression as a civilisational project.

Like most colonised peoples in the southern hemisphere, Africans fought disproportionate battles to gain their precious freedom. Here in Kenya, which became an official British colony in the 1920s, Kenya’s freedom fighters rose in rebellion against the brutality of their oppressors. Most notable among the various resistance campaigns, the Mau Mau rebellion of the 1950s remains a stark example of the courage of Kenyans and the cruelty of colonial Britain. Thousands of people were killed, wounded, disappeared or were imprisoned under the harshest of conditions.

Palestine fell under British occupation, the so-called British Mandate, around the same period that Kenya also became a British colony. Palestinians, too, fought and fell in their thousands as they employed various methods of collective resistance, including the legendary strike and rebellion of 1936. The same British killing machine that operated in Palestine and Kenya around that time, also operated, with the same degree of senseless violence, against numerous other nations around the world.

While Palestine was handed over to the Zionist movement to establish the state of Israel in May 1948, Kenya achieved its independence in December 1963.

At one of my recent talks in Nairobi, I was asked by a young participant about “Palestinian terrorism”. I told her that Palestinian fighters of today are Kenya’s Mau Mau rebels of yesteryear. That if we allow Western and Israeli propaganda to define Paestine’s national liberation discourse, then we condemn all national liberation movements throughout the southern hemisphere, including Kenya’s own freedom fighters.

We Palestinians must however shoulder part of the blame that our narrative as an oppressed, colonised and resisting nation is now misunderstood in parts of Africa.

When the Palestine Liberation Organisation committed its historical blunder by signing off Palestinian rights in Oslo in 1993, it abandoned a decades-long Palestinian discourse of resistance and liberation. Instead, it subscribed to a whole new discourse, riddled with carefully-worded language sanctioned by Washington and its European allies. Whenever Palestinians dared to deviate from their assigned role, the West would decree that they must return to the negotiating table, as the latter became a metaphor of obedience and submission.

Throughout these years, Palestinians mostly abandoned their far more meaningful alliances in Africa. Instead, they endlessly appealed to the goodwill of the West, hoping that the very colonial powers that have primarily created, sustained and armed Israel, would miraculously become more balanced and humane.

When the Palestine Liberation Organisation committed its historical blunder by signing off Palestinian rights in Oslo in 1993, it abandoned a decades-long Palestinian discourse of resistance and liberation.

However, Washington, London, Paris, Berlin, etc., remained committed to Israel and, despite occasional polite criticism of the Israeli government, continued to channel their weapons, warplanes and submarines to every Israeli government that has ruled over Palestinians for the last seven decades. Alas, while Palestinians were learning their painful lesson, betrayed repeatedly by those who had vowed to respect democracy and human rights, many African nations began seeing in Israel a possible ally. Kenya is, sadly, one of those countries.

Understanding the significance of Africa in terms of its economic and political potential, and its support for Israel at the UN General Assembly, right-wing Israeli Prime Minister Benjamin Netanyahu has launched his own “Scramble for Africa”. Netanyahu’s diplomatic conquests on the continent have been celebrated by Israeli media as “historic”, while the Palestinian leadership remains oblivious to the rapidly changing political landscape.

Kenya is one of Israel’s success stories. In November 2017, Netanyahu attended the inauguration of President Uhuru Kenyatta. Netanyahu was seen embracing Kenyatta as a dear friend and ally even as Kenyans rose in rebellion against their corrupt ruling classes. Tel Aviv had hoped that the first-ever Israel-Africa summit in Togo would usher in a complete paradigm shift in Israeli-African relations. However, the October 2017 conference never took place due to pressure by various African countries, including South Africa. There is still enough support for Palestine on the continent to defeat the Israeli stratagem. But that could change soon in favour of Israel if Palestinians and their allies do not wake up to the alarming reality.

The Palestinian leadership, intellectuals, artists and civil society ambassadors must shift their attention back to the southern hemisphere, to Africa in particular, rediscovering the untapped wealth of true, unconditional human solidarity offered by the peoples of this ever-generous continent.

Kenya is one of Israel’s success stories. In November 2017, Netanyahu attended the inauguration of President Uhuru Kenyatta. Netanyahu was seen embracing Kenyatta as a dear friend and ally even as Kenyans rose in rebellion against their corrupt ruling classes

The legendary Tanzanian freedom fighter, Mwalimu Julius Nyerere, who is also celebrated in Kenya, knew very well where his solidarity lay. “We have never hesitated in our support for the right of the people of Palestine to have their own land,” he once said, a sentiment that was repeated by the iconic South African leader Nelson Mandela, and by many other African liberation leaders. Today’s generation of African leaders should not deviate from that noble legacy. If they betray it, they betray themselves, along with the righteous struggles of their own peoples.

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When Numbers Lie: Public Trust, Political Legitimacy and the 2019 Census

The one thing we are sure about, however, is that regardless of the outcome, our confidence in these state-captured institutions is at a historic low. They will have to perform miracles to convince us of the veracity and legitimacy of the population numbers they shall announce, the constituencies they shall demarcate and the voters they shall register.

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When Numbers Lie: Public Trust, Political Legitimacy and the 2019 Census
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There is an uncanny resemblance between elections and population censuses in Kenya. The premise is often that elections and population censuses are purely technical exercises. The processes are handled in a purely technical manner at inception and then they become highly politicised once the results are out. Yet elections and population censuses are highly political-technical operations and should be treated as such from their commencement. This is critical as the institutions undertaking the exercises must be able to build public trust to ensure the acceptability of the results.

However, typical of Kenya, we pretend that the Kenya National Bureau of Statistics (KNBS) conducts population and housing censuses in a political vacuum. We ignore the fact that a census is not just a planning tool; the results of a census form the basis for decisions on representation (electoral boundaries), identity and resource allocation. In any society, these three issues are highly political and very sensitive. It is no wonder then that there are many countries in Africa that avoid conducting censuses and rely on projections instead, as evidenced by the latest list published by the United Nations.

We also bury our heads in the sand and project the Independent Electoral and Boundaries Commission (IEBC) as an autonomous institution functioning with utmost impartiality and professionalism yet the evidence over the years points to the contrary. The selection of the Commissioners overseeing elections has all the pretences of an open and transparent process, complete with televised interviews. In reality, however, it is political horse-trading with the sole aim of selecting the most politically pliable persons who have never held any serious management positions. The appointments are considered favours to be returned rather than a public service.

However, typical of Kenya, we pretend that the Kenya National Bureau of Statistics (KNBS) conducts population and housing censuses in a political vacuum. We ignore the fact that a census is not just a planning tool; the results of a census form the basis for decisions on representation (electoral boundaries), identity and resource allocation. In any society, these three issues are highly political and very sensitive

It is no wonder then that these two institutions—which are clearly mandated to count—have continually failed to perform their core functions. The disputes surrounding the results of the 2009 census were resolved by the courts. Similarly, the 2013 and 2017 presidential elections were decided by the Supreme Court.

Which begs the question of why these two institutions are unable to perform the one job given to them. Is it a matter of incompetence? Are they unable to do simple additions or are they accomplices in State Capture?

Public records indicate that the core staff of the KNBS are highly qualified demographers and statisticians. Kenya is one of the most active members of the United Nations Commission on Population and Development. It regularly sends highly qualified experts to support other countries in developing their skills in undertaking censuses.

This is also the case for the core staff of the IEBC. While the Chairman and Commissioners have continuously and publicly proved their incompetence in electoral and boundary demarcation matters, the staff, especially at the constituency level, are highly skilled. The issue is therefore not so much one of incompetence among those charged with the technical aspect—the counting of votes or people. To a large extent, the staff know exactly what their tasks are and how to carry them out and it would be inaccurate to label the actions of the KNBS and IEBC as incompetence. Rather, it is a matter of blatant collusion between the senior managers of these institutions and the political class to subvert the will of the people and manipulate the results of the population census.

Public records indicate that the core staff of the KNBS are highly qualified demographers and statisticians. Kenya is one of the most active members of the United Nations Commission on Population and Development. It regularly sends highly qualified experts to support other countries in developing their skills in undertaking censuses.

It is not by coincidence that both the IEBC and KNBS have resorted to using technology in the transmission of the results of the election and the census, respectively. It is also not coincidental that the KNBS is using the same company that bungled the 2017 election despite parliamentary censure of the company.

While there are positive aspects to technology, there are many more worrying aspects to it. Many pundits have focused on the question of data privacy in the 2019 electronic census process. In the absence of regulations on data protection, data privacy is a valid concern. Statements from senior government officials to the effect that data is the new oil suggests possible collusion with companies trading in Big Data and instinctively increases the level of doubt in the government’s intentions. Some of the questions in the population census further confirm that the data collected could be used for commercial purposes by corporations.

In addition to data privacy, we should also be concerned about two other issues: the transparency of the results and cybersecurity. Unfortunately, these issues have not been at the forefront of the national debate on the population census.

On the first issue, the traceability, accountability and transparency of the census, there are lessons from the 2017 General Election that are worth recalling. The Supreme Court decision to annul the presidential result was primarily because of its concerns regarding the transparency and accountability of the electronic transmission of results. This year’s paperless census raises similar concerns. Moreover, unlike the IEBC which had the (albeit unreliable) Forms 34 (a) and (b), there is no similar back-up for the census. The implication is that an audit of the process would be limited to only the electronic files available.

In addition, there is ample evidence from all over the world showing that it is much easier to manipulate technology than it is to manipulate a paper-based census or a paper-based transmission of election results. Several studies have shown how—in the age of artificial intelligence—algorithms can be introduced into the system to produce the desired result. I recall two years ago when the then opposition leader, Rt. Hon. Raila Odinga, was dismissed for claiming that an algorithm had been introduced into the IEBC system to ensure the victory of his now bosom buddy. The fact that the IEBC failed to submit its servers to court-appointed experts to refute the veracity of the accusations should be taken as confirmation that the system was indeed manipulated. What prevents the KNBS from doing the same? The motivation to introduce an algorithm to steer the population census towards a desired result is not any less now than it was during the 2017 election.

In addition to data privacy, we should also be concerned about two other issues: the transparency of the results and cybersecurity. Unfortunately, these issues have not been at the forefront of the national debate on the population census.

Second, cybersecurity should be of concern in the context of a paperless census. Cyberattacks can take various forms including denial-of-service (DoS) where computer systems are interrupted or slowed down; introduction of malicious software (Malware) through worms, spyware, viruses and ransomware; or persons obtaining passwords or user-names and pretending to be trustworthy entities to breach servers. In the past, the country has had its infrastructure attacked by hackers and it is not clear what measures the KNBS has put in place to counter cyberattacks. Certainly, the IEBC had not put in place such measures in 2017.

One may wonder why we should be concerned about the manipulation of the census results and possible cyberattacks. Obviously, accuracy is fundamental given the importance of the data for economic and social planning. But in addition, the 2019 census is crucial to two processes to be undertaken by the IEBC in the coming year.

Firstly, the Commission is required to undertake a boundary demarcation exercise shortly after the census. The 2010 boundary demarcation process exceptionally allowed for the establishment of 27 constituencies which had not met the population quota provisions laid out in the Constitution. This means that politicians in these 27 constituencies will attempt to ensure that, this time round, they meet the provisions by hook or by crook. Politicians all over the world are keen to be involved in gerrymandering to ensure that their “strongholds” have more electoral units. It appears that the electronic census system has been put in place precisely to give the IEBC room to get involved in gerrymandering. In the absence of a paper trail the lack of traceability of the census process gives the IEBC room to do what the Commission does best, play to the tune of its benefactors.

Secondly, the Election Act requires the establishment of a new register of voters before the next election. A lot has been written about the defects in the 2017 register of voters and the inflated numbers in certain regions. It is expected that the IEBC will use the population figures to project the target number of voters to be registered. This is when the “tyranny of numbers” narrative will begin to play out; depending on what the political affiliations will be in 2020 and 2021, certain regions will likely have more “registered” voters than others. The likely manipulated KNBS ethnic numbers will then be replicated in the register of voters as was the case in 2017. I am always amused to see how the basic concepts of the ratio between the birth rate and the death rate are never applicable in the voters’ register; regions with a historically low birth rate and high death rate were often the ones with the largest number of new voters registered, thus defeating science.

It will be interesting to see how this plays out in the era of “dynasties and hustlers”. Are we likely to see the KNBS and later on the IEBC report higher populations and voters in the so-called dynasty strongholds? In the last voter registration exercise, there was ease of access to identification cards in the supposed UhuRuto zones. Will this switch in favour of the UhuRaila strongholds? Will we see the counties in the northern part of the country having more numbers and thus playing a swing-vote role in the 2022 election? Will the ongoing economic marginalisation of the coastal region be reflected in lower population and voter numbers? There are many political questions hanging in the air as we await what the KNBS and the IEBC have in store for us.

The one thing we are sure about, however, is that regardless of the outcome, our confidence in these state-captured institutions is at a historic low. They will have to perform miracles to convince us of the veracity and legitimacy of the population numbers they shall announce, the constituencies they shall demarcate and the voters they shall register.

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I Am Now Officially a Taita: How the 2019 Census Made Me Lose My Identity

Was the 2019 census conducted on behalf of certain commercial/political interests as a tool that could be used for marketing goods or to determine a household’s credit-worthiness?

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I Am Now Officially a Taita: How the 2019 Census Made Me Lose My Identity
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I know most people are not going to believe me when I say this but, haki ya mungu, I was recorded as a Taita in the 2019 census. On the night of 24 August, a young female enumerator who identified herself as a Taita arrived at my house in Kilifi County alongside an elder of the community/area and unilaterally decided that I belonged to a tribe called Taita.

You might wonder how this came about but I can only explain it as interviewer bias—when an interviewer injects his or her prejudices and preconceived ideas into an interview, thereby distorting the results.

This is how this bizarre situation unfolded. Upon establishing that my husband was a Taveta, the enumerator, who appeared friendly and nice, told me without flinching that a woman belongs to her husband’s tribe and so I would be listed as Taita-Taveta. Now, I have spent a lot of my life campaigning for Kenya’s Asian community to be recognised as bona fide citizens like the rest of Kenyans who are born in this country or who have roots here, but to be forcefully adopted into a Kenyan tribe in this manner was not what I expected. (Note: I was not asked if I wanted to be listed as a Kenyan, which apparently was one of the options alongside tribe.)

As the interview proceeded, at some point the word Taveta dropped out of the enumerator’s vocabulary and she began referring to both of us as Taita. I told her I had no tribe and if there was a category called “Asian” or “Other”, I would be happy to be listed under it. She said there was no such category, which made me wonder what the hullaballoo about Asians being officially declared the “44th tribe” of Kenya was all about. Was it just a gimmick or a political ploy to gain votes? If indeed Asians are now recognised as a Kenyan tribe, then why did the designers of the census questionnaire not reflect this?

So, not only were Asians as an ethnic or racial group ignored by the census, but some ethnic groups got special treatment. A Kenyan Somali friend informed me that while the majority of indigenous tribes were treated as a homogenous group (for instance, there was no distinction made between a Maragoli and a Bukusu, both of which belong to the Luhya tribe), Kenyan Somalis were treated as a heterogeneous group of clans. My friend was asked by an enumerator to declare his Somali clan.

While I was still recovering from the fact that I had been categorised in a Kenyan tribe with which I had no biological or filial ties, the enumerator proceeded to inform me that my husband, by virtue of being male, was, according to the census criteria, the de facto head of the household and that all questions would be addressed to him. I told her that the head of the household could be anyone, male or female, who is the breadwinner of the family, but she insisted that in Christianity, the head of the household is always the husband, the only exception to this rule being if the husband has died or has abandoned his family. I told her I was not a Christian, but that did not deter her. (I shudder to think what she might have recorded if she had encountered a homosexual couple where both “husband” and “wife” belong to the same sex.)

A Kenyan Somali friend informed me that while the majority of indigenous tribes were treated as a homogenous group (for instance, there was no distinction made between a Maragoli and a Bukusu, both of which belong to the Luhya tribe), Kenyan Somalis were treated as a heterogeneous group of clans. My friend was asked by an enumerator to declare his Somali clan.

Anyway, I decided to let that pass as patriarchal biases probably determine most censuses, but there were more surprises to follow. I was completely taken aback when she asked me and my husband if we had purchased anything online in the last six months. With the threat of a Sh500,000 fine hanging over our heads for giving false information (which country threatens to fine people for giving the wrong answers during a census?) I admitted to her that I had bought a book on Amazon recently.

Now as far as I know, the primary purpose of a national census is to collect data on the number of people residing in a country, not their shopping preferences. (Data on the latter is usually collected by marketing companies.) These people should be counted regardless of their citizenship. The people being counted could be refugees, tourists or even illegal aliens from Mars. That is why the ID number or passport question was completely irrelevant, and in fact, as many Kenyans learnt rather belatedly, it was also contrary to the Official Statistics Act and international norms and standards pertaining to censuses, which guarantee anonymity.

My question is: if this question is contrary to the country’s own laws and to international norms and standards, why was it included in the census questionnaire? The census question about citizenship and ID number would have definitely put off undocumented people, like the many urban refugees who live in Nairobi and other urban areas outside refugee camps, who I am sure found a way to disappear from the radar of the enumerators on the night of the census.

While I was still recovering from the fact that I had been categorised in a Kenyan tribe with which I had no biological or filial ties, the enumerator proceeded to inform me that my husband, by virtue of being male, was, according to the census criteria, the de facto head of the household and that all questions would be addressed to him.

Imagine being a refugee or an undocumented person in Kenya, and then being asked to produce an ID. The fear of deportation or arrest probably saw a lot of people not sleep in their homes during the week of the census—and so they were not counted. So, the census results are already inaccurate because someone at the Kenya National Bureau of Statistics was misled into believing that this was not an enumeration exercise, but an opportunity to intimidate people and to collect data on their legal status and consumption habits.

Tyranny of numbers

As for the question on tribe, in a politically volatile country like ours, where the “tyranny of numbers” is used to oppress or marginalise people, this question, in my opinion, should have been left out altogether.

I did not always feel this way. When the 2009 census was conducted, many argued that ethnicity should be left out of the census questionnaire because it would lead to further polarisation in a country that was becoming increasingly tribalistic (and which had just been through a violent election in 2007) and because the data on ethnicity would be manipulated by politicians to promote their own interests. These arguments have been made in other countries as well, notably in India, where there has been an ongoing debate about whether or not to undertake a census on caste. Those opposing the census say that it would promote casteism in the country, while those supporting it argue that a caste census would be an invaluable planning tool to promote equity.

But I was not convinced. In 2009 I felt that the question was relevant. I argued that enumerating ethnicity was not a statistical problem, but a political one, and that the exercise of gathering data on the ethnic makeup of a country was desirable for planning purposes and also for the purpose of research. An anthropologist or historian studying migration patterns might want to know how many people of Indian origin have settled here, for example. I was particularly keen to know how many people of Indian/Pakistani origin resided in the country, as the only authoritative figure I had was one that was published over 50 years ago.

I was completely taken aback when she asked me and my husband if we had purchased anything online in the last six months. With the threat of a Sh500,000 fine hanging over our heads for giving false information (which country threatens to fine people for giving the wrong answers during a census?) I admitted to her that I had bought a book on Amazon recently

Unfortunately, the figures on Asians released by the Kenya National Bureau of Statistics in 2010 seemed a little suspect. According to an official text message that I received from the bureau, there were 35,009 people belonging to the “Asian tribe” in the country, who accounted for 0.09 per cent of the total population. This figure was questionable because, according to the bureau, there were also 53,393 Hindus in Kenya.

Now unless there had been a mass conversion of nearly 20,000 indigenous Africans to Hinduism in the years preceding the census, it was impossible to reconcile these two figures. How could there be more Hindus than Asians in the country? And what about the many Asians who were Muslims, Christians, Jains, Sikhs or atheists? Were they counted as Asians?

These anomalies may appear minor, but they severely impact the credibility of an entire census data set.   If the data on Asians appeared to be questionable, then what other data was also suspect? This question became apparent when the 2009 census showed that there were 2.38 million ethnic Somalis residing in the country, a figure that was later refuted by the government because it appeared to be too large.

The 2009 census did, however, put to rest the widespread belief that Kibera was the largest slum in Africa, with a population of one million. The 2009 Kenya census showed that Kibera was, in fact, home to slightly less than 200,000 people. So Kenya’s most famous informal settlement lost its “celebrity” status as the biggest slum in Africa (though several articles I have read since the 2009 Kenya census results were published still claim that Kibera has one million residents, which goes to show that figures are like viruses —they can spread even after the medicine has been administered).

Devolution and urbanisation

Why is it important to have accurate census figures? Well, because when a country publishes inaccurate, misleading or unscientific statistics, national policies, priorities and programmes become skewed. Millions of people’s lives can be affected by a single misleading or erroneous statistic. So, for instance, if a census shows that the majority of people living in a particular area are over the age of 35 when, in fact, the majority are under the age of 18, then this could impact the number of schools built in the area.

I understand that devolution has complicated matters, and so numbers are used to justify resource allocation, but surely we cannot in the 21st century’s rapidly urbanising world be thinking that all counties are ethnically homogenous and will remain so in the next 30 years. When Kalonzo Musyoka asked “his people” to go to their villages to be counted, he was implying that resource allocation is dependent on the number of people in a county. This kind of convoluted thinking is what has made planning in this country a political exercise, a tyranny of numbers. This kind of thinking assumes that people don’t move from their ancestral lands to settle in cities and towns. Yet many rural-to-urban migrants never return to their villages and eventually become permanent urban residents. Maybe our cities and towns are in such a pathetic state because county and national government officials assume that people who live there don’t actually belong there, and will eventually go “back home”.

Why is it important to have accurate census figures? Well, because when a country publishes inaccurate, misleading or unscientific statistics, national policies, priorities and programmes become skewed.

On the other hand, urban poverty has become an income-generating cause for many, which was why the one million population figure for Kibera was not challenged for many years. Many NGOs exaggerate numbers because that is how they remain relevant, how they push forward their agenda on the international stage, and how they attract donor funding. Many national and international NGOs working in Kibera probably used the one million population figure (which was, as I found out, completely made up) to solicit funds from donors. Meanwhile, the Kibera MP at the time of the 2009 census, Raila Odinga, didn’t challenge the figure either, probably because he didn’t want anyone to know that his constituency was actually much smaller than people believed.

But the use or manipulation of data to create certain outcomes is not confined to NGOs. Last year, a documentary on Al Jazeera showed how Big Pharma influences the way the World Health Organisation’s (WHO) senior management makes decisions about global public health crises. The documentary suggested that the 2009 swine flu pandemic might have been fabricated or exaggerated to benefit pharmaceutical companies manufacturing the swine flu vaccine. One former delegate to the European Council stated: “The WHO officials have no idea about such things [pandemics]. They depend on scientists. And the scientists are allocated to them by the countries and by the organisations that finance the WHO. And many of them gave advice and made decisions that benefited the pharmaceutical industry.”

Was the 2019 census conducted on behalf of certain commercial/political interests as a tool that could be used for marketing goods or to determine a household’s credit-worthiness? (One Kenyan on Twitter quipped, “For this government, Kenyans are not citizens, they are customers.”) Or was it a form of surveillance, much like the Huduma Namba?

It could be that I am reading too many sinister motives in the 2019 census. Maybe the enumerator sent to my house was not trained properly. It could also be that the statisticians and demographers at the Kenya National Bureau of Statistics who designed this census are not qualified for the job. Whatever the case, I would like the people who identify as Taita to know that one more individual has been added to their number, thanks to the 2019 census.

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