Nepal in 1950s

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Nepal is a small but ethno-linguistically rich Himalayan country that consists of eight of the world’s tallest mountains. Despite being small, Nepal is home to over one hundred languages. Where did these people originate? What are their histories? Unfortunately, due to scanty archeological and historical data, we do not know much about the Nepali linguistic communities.

Understanding population distribution i.e., where people live may tell us important things about origins and histories of a particular population. Basically, dense localization of a population in a particular area may suggest the population’s historical territory. Similarly, population spread may indicate migratory patterns of certain populations. If multiple populations harbor the same area, it is likely that gene flow between such populations may have occurred in the past.

Thus, to learn about the histories of different Nepali language communities, I looked at the census data from 1952-54, which is the first reliable census of Nepal. I obtained the data, formatted it, and cleaned it up a little bit.For this census, Nepal was divided into 9 census regions and 67 census districts (Fig.1). Although data for district level is available, I will focus on the regional data for this article.

Nepal_Census_Map1952-54

Figure 1: Nine census regions in first Nepali census (1952-54 A.D.)

According to the census data, there were 8,473,478 people native to the 28,770 villages and cities in Nepal. Only five cities had more than 5000 inhabitants: Kathmandu (107K), Lalitpur (42K), Bhaktapur (32K), Nepalganj (11K), and Birganj (10K). Interestingly, Thimi, a town between Lalitpur, Kathmandu, and Bhaktapur also had 8.7K people. Migration rate, defined as people not present in their ancestral homes for six months or more, was negligible: 2.6% for the entire country and between 0.06-4.3% for the nine census regions. This makes sense because Nepal was very remote until recently. The first highway was constructed in 1960s before which traveling was probably very difficult, therefore rare. Closed to the western world until 1950, first available reports have also described Nepal as remote and rural and difficult to travel.

The negligible migration rates indicate that most Nepalis lived in their ancestral villages. Therefore, this census data may be useful in understanding the historical population structures within Nepal. Hence, I first looked at population density in each census region (Fig, 2).

CensusNepal1952_popdensity

Figure 2: Population density in the nine census regions in 1952-54

In the first glance, most populous region in Nepal was Western Hills and the least populous was Western Inner Terai. However, after accounting for geographical area, Kathmandu valley, which consists of three towns: Kathmandu, Bhaktapur, and Lalitpur, was remarkably the most populous region within Nepal consisting of 5% of the entire population. Around 45% Nepalis lived east of Kathmandu valley, Western Hills comprised of 40% of the population, and 61% of the Nepali populations lived in the Hills (Eastern and Western Hills combined). The least populated region in the country was Far-Western Terai, likely because it was covered with dense malaria infested jungles.

 

CensusNepal1952_popnumbers

Figure 3: Population size of different ethnolinguistic communities within Nepal in 1950s

From the data, major language groups appear to be Nepali, Maithili, Tamang (Lama), Newari, Tharu, Magar, Rai, and Limbu. Although currently over 100 languages are recognized in Nepal, in the 1950 Census reported around 36 language groups (Fig.3), probably in an effort to not contradict Prithvi Narayan Shah’s Divyopadesh  in which he has proclaimed that Nepal is a common ground of 4 varnas and 36 jaats. Many of the smaller language groups in Terai have been lumped into “Pradesh dialects.” Also, several of the High Himalayan languages recognized today are missing. Because the census was conducted by traditional revenue collectors, known as  jimmewals and patwaris, perhaps the Rana government thought that the burden of visiting the remote High Himalaya was not worth the negligible revenues it would extract from its inhabitants. Therefore, it is reasonable to assume that these populations were not included in the first Nepali census of 1952-54.

My ultimate goal was to find clues about population histories of different ethnolinguistic groups within Nepal. Therefore, I used the “mother tongue” data to first see if I can learn anything about where different language communities lived in 1950s.

 

CensusNepal1952_popregion

Figure 4: Ethnolinguistic diversity within Nepal in 1950

Figure 4 shows what proportion of population in each census region is contributed by which language community. For example, about 55% of population in Kathmandu were Newar, 40% were Nepali speakers, and the remaining 5% were Tamang. Although considered natives of Kathmandy valley, appreciable proportions of Newars were present outside of Kathmandu valley in Central Terai (5%) and Eastern Hills (4%). Newars were absent in all Terai regions.

The census clearly shows that Terai was populated by various non-Nepali speakers. Even in 1950s, it is clear that Nepali speakers were widespread in Nepali Hills and Inner Terai, but were also virtually absent (<5%) from all of the Terai (Fig.4). Given the low migration rates, it is likely that the populations that lived in certain parts of Terai in 1950 were native to that region. For example, the majority of populations in West-Inner Terai (57%) and Far-Western Terai (60%) were Tharu, a tribe that is indigenous to dense, malaria-infested, impenetrable jungles, also known as chaar-kose jaadi that decorated Terai until very recently. Indeed,  Danagaura Tharu (Banke, Bardiya, Dang, Surkhet), Kathariya Tharu (Kailali), and Rana Tharu (Kailali and Kanchanpur) are indigenous to FW Terai. Tharu presence is also strong in  Mid-Western Terai (20%) and Central Inner Terai (12%). Indeed, Chitawania Tharu are known to be indigenous to Chitwan, Bara, Persa in Center Inner Terai. The presence of Tharu is appreciable as well in East Inner Terai (6% of the population in Sindhuli and Udayapur), perhaps due to large populations of Kochila Tharu in this region. They are virtually absent in Kathmandu valley and in the Hills but interestingly, also in the Eastern Terai, which was mostly populated by Maithili speakers, perhaps because this region was once the capital of an ancient Maithili kingdom of Videha.

Tamang and Magar communities were widespread in Eastern as well as Central Nepal. Surprisingly, 33% of Nepalis in Central Inner Terai (Chitawan, Chisapani Garhi, and Nawalpur) were Tamang, although Tamangs were also present in Eastern hills and perhaps even in the high-altitude regions in the East. After Nepali and Tamang speakers, Rai (13%) and Limbu (8%) were the most populous groups in the Eastern Hills whereas  Magar were the third most populous in East-Inner Terai (12%).

Although this data indicates that Eastern Nepal was more diverse than Western Nepal, it is biased against the smaller language communities. For example, almost all of the 14,261 Chepang lived in the Central Inner Terai but they only comprised 6% of the population. Many other language communities have much smaller population sizes (Fig.3). Hence, to know the whereabouts of smaller language communities, I asked what proportions of speakers lived in each census region. In other words, I asked how each language group was distributed across different census regions (Fig.5).

CensusNepal1952_poplang

Fig 5: Distribution of language families within Nepal in 1950

This figure clearly shows that many smaller language communities are localized to a particular region, especially in the Hills and Terai of the East. About 60% of Nepali speakers were present in Western Hills, indicating that Nepali speakers were originally residents of Western Hills and later spread rapidly to comprise the majority of populations in many other census regions (Fig 3). Although this is consistent with previous reports of rapid Khas migrations within Nepal, it is important to realize that this migration must have happened steadily over several generations because migration rate throughout the country was very low.

Eastern Hills appear to be very diverse along with Eastern Terai.  Many smaller language communities such as Jirel, Thami, and Sunuwar appear to be residents of Eastern Hills. Although Maithili is the dominant population in Eastern Inner Terai, Jhangar, Dhimal, Bhojpuri, Rajbanshi, and Satar also appear to be restricted to this region. It would be interesting to see when different populations arrived in this region of Nepal and whether any gene flow among these populations have occurred.

Also interesting is the Majwari population, which is present discontinuously in Eastern Terai and  Mid-Western Terai. Who are the Majwari peoples? How and why they moved within Nepal remains to be understood. Similarly, Sherpa seem to have two distinct populations: a strong presence in Eastern Hills and a moderate one in Western Hills. Danuwar also appear to have spread from Eastern to Central Nepal.

This data has shown that smaller language communities in Nepal have historically localized to particular regions whereas larger populations have moved around. However, there are certain populations that present in Eastern and Western Nepal but not in the middle. When did these populations migrate into separate regions? Given migration was negligible in 1950s, did these populations migrated in ancient times? Did they originate from the same ancestral population? How long ago they split? These are some interesting questions that need further work.

 

 

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Map of Europe: 1000 AD to present day

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A practical guide for craft beer lovers with expanding waistline.

If you are like me, with a passion for good beer but bothered by increasing waistline that only seems to increase with increasing age, it is difficult to keep drinking beer. I have tried switching to beer alternatives, single malt for example. But whiskey is not really a beer substitute. I tried switching to low calorie light beers but they taste like beer flavored soda, not good. So, I set out to find great tasting beer with relatively low calories and here is what I found.

As  The Beer Wench has pointed out, “all you really need to know is that sugar content and calories in beer directly correlates to its alcohol content.” However, in my limited search experience, I found limited data to validate this claim. To test whether this is really the case, I downloaded alcohol, calories, and carb data for the Top 250 Beers rated by beer drinkers and compiled by RealBeer.com.

Beer_data_CalvsCarbs.full

Beer_data_ABVvsCal.full

Of the two hundred beers, 135 had information on total calories and 87 had information on carbohydrates content per 20 oz. volume. I found that there is a highly significant correlation between calories and carbohydrates (Spearman’s rho=0.74, P<2.592e-16), which may seem obvious. Interestingly, I realized that the non-alcoholic beers have high carbs even though they have lower total calories (blue dots in top left figure). I also compared the calories and carbs to alcohol by volume (%ABV). I found that ABV is also significantly correlated to calories as well as carbs (Spearman’s rho=0.86 and 0.51, P<2.2e-16 and 3.853e-07, respectively). Sierra Nevada’s Bigfoot was a clear outlier in both comparisons. Also with Sam Adams’ Triple Bock, has with very high ABV and therefore, very high calories and carbs (top right figure). If you do not want your waistline to increase exponentially, you may want to stay away from both these beers. So, The Beer Wench (@thebeerwench) was right: all you need to know is the ABV. The data suggests you should avoid higher ABV for lower calories. 

These results created a moral dilemma: should one sacrifice taste for calories? More importantly, does this mean no craft beer? That would really be terrible! Fortunately, there are many great tasting craft beers with low calories but finding the right one is very challenging. I really did not have time to analyze data on all craft beers, hence I chose to work with BeerAdvocate’s Top 250 Beers. Each of these beers is rated by 150-12,000 people. A “Weighted Rating (WR)” score is generated for each beer “using a Bayesian estimate that pulls data from millions of member ratings (not hand-picked) and normalizes scores based on the number of ratings for each beer.” If that is complicated, don’t worry. The point is, I had 250 of the best beers and my job was to pick the “cream of the crop.”

Beer_data_Top250Beers.Styles   Beer_data_Top250Beers.AleCategories

I was curious to see what styles of beer are most popular among Americans. I found that ales were the more popular than lagers. People liked American ales the most followed by Belgian/French, English, German, and Scottish ales in that order. Surprisingly, lager does not seem to be please the palettes of this group of beer afficionados! Among the ales IPA and Stouts were highly rated, which is awesome because I love both. I was surprised to see that several of the American Wild Ales (AWA) were also rated high. I have tried very few of them. A few porters were also highly rated.

Beer_data_Top250Beers.ABVvsVotesI decided to look at the distribution of ABV for all the 250 beers in the dataset. I was very surprised to find that the median ABV was 9.0! This raised a strong possibility that the survey may be highly skewed towards high-alcohol beers. To test this, I compared number of votes casted per beer to its alcohol content. I found that beers with moderate ABV (~7.5%) received the most votes. This means many more people tried beer with moderate ABV than beer with high ABV but those who tried high ABV beers also rated them highly.

Porters

Anyway, it does not look like the data is biased so I decided to split the Top 250 Beers by their styles and focused on IPA, AWA, stouts, and porters. In the subsequent figures, purple indicates higher scores and yellow indicates lower scores. Ideally, you would want to find beer with yellow color for “%Alcohol” column and with blue color for “Rating” column. For example, Maple Bacon Coffee seems to be the best Porter for the calorie counters (6.3% ABV with 4.4 WR). Whereas the calorie-concerned may go with slightly higher rated Everett (7.5% ABV with 4.49 WR). Although, Twilight of the Idols is not that bad (7.5% ABV, 4.29 WR), you may want to avoid Collaboration Series: Rue D’ Floyd (14.4% ABV). Similarly, among the Stouts, Founder’s Breakfast and Péché Mortel (Imperial Stout Au Cafe) have the least calories ( (8.3% and 9.5% ABV and 4.51 and 4.38 WR respectively). I am thrilled that one of my most favorite beer, Bell’s Two Hearted Ale (7% ABV and 4.27 WR), is among the highly rated low-calorie IPA 🙂

I am really excited that each of these lists have several beers that are highly rated but have relatively lower calories. I am certainly going to try them in months to come and I hope that this list serves you well in finding your favorite beer as well.


Stouts

IPAAWA_ranked

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