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Fig. 7. The surficial geology of Columbia County. The lacustrian soils of the western portion come from the remains of glacial lake Albany. Clays found in this region contributed to historical brick-making. Most of the remainder of the County is covered by glacial deposits. (From the NYS Geological Survey surficial geology map.)
The combination of topography
and
geological history have
produced the agricultural landscape of the County. Prime farmland soils
(as
defined by the USDA) are found mainly on the flatter lands of the
Hudson Valley
and of the Harlem Valley, which reaches up into the southeastern
portion of our
area (Fig. 8). The distribution of agriculture has been further
patterned by
regional climate (fig. 9), with the Hudson Valley, especially in the
southern portion of
the County, being
notably warmer but drier than other areas. Most of the County is within
USDA
plant hardiness zone 5a, although the SW corner falls within the warmer
zone
5b.

Fig. 8. The location of prime
agricultural soils in Columbia County
(indicated
in green), relative to topography. The best soils are located in the
region’s
valleys. Data from USDA soil surveys.

Fig. 9. A summary of climatic variation in Columbia County. The NE corner of the map experiences colder, wetter weather than the SW corner. Differences are large enough to markedly affect growing season.
Columbia County experiences a southern New England climate, although some of the ridgetops are more extreme. The forests of this area are variably classified (based upon which botanist you follow) as northern hardwoods, beech-maple forest, eastern hardwood forest or some derivative thereof. The colder, higher regions along the eastern border have vegetation more typical of northern New England. Botanically, we are located on something of a “tension zone”, a biogeographical term referring to a region where there is a rapid turnover of species. In our case, the “tension” is between the plants of more northern forests and more southerly ones (Fig. 10). The composition of our fauna, likewise reflects these mixed origins – for example, we are far enough north to retain such species as breeding Juncos and Canada Warblers, but we are also far enough south to get Bog Turtles. In terms of New York State diversity, the County can play an important role supporting populations of southern species because locations south of us tend to be more heavily affected by encroachment from New York City, and hence less ecologically viable.

Fig. 10. The forest types of the northeastern US indicating the position of Columbia County along the margin between forest types.
Our landscape has influenced and continues to influence the distribution of people within the County.
Indigenous activity seemed to be most intense along the banks of the Hudson. However, these villages were likely seasonal with groups retreating to the uplands to hunt during some months. Such hunting, along with fishing and gathering, may have been the main sources of food; corn-based agriculture apparently occurred to at least some extent. At the time of first European contact, the Mohican (or Mahican) tribe of the Algonquin language group lived in the area. An estimated 4000 indigenous people lived in a region outlined by a triangle connecting the southern tip of Lake Champlain, Springfield, MA and Kingston, NY.

Fig. 11. The spread of European settlement across the County expressed as a sampling of houses existing at various dates (based upon NYS Office of Real Property data on year of house construction). Dutch settlement started along the Hudson and moved up valleys until late in the 18th century when English settlers arrived to the eastern hill towns.

Fig. 12. Population, farm number and estimated forest in Columbia County. Forest has dropped and rebounded dramatically during the past 200 years.
Earliest European settlement in the region was mainly from the West as the Dutch spread out from colonies founded along the Hudson River during the early 1600s (Fig. 11). The Dutch established a semi-feudal system, granting large tracts of land to ‘lords of the manor’ who oversaw rent-paying tenants. Columbia County itself comprised all or part of two manors: Livingston and Renssellaer. Livingston (a Scot who somehow finagled himself dutch ‘lord of the manor’ status) brought in Palantine Germans to extract tar from pitch pines. While this venture failed, its legacy lives on in the township of Germantown. By the late 1700’s, Dutch settlement from the west was being supplemented by settlement from the English colonies to the east as “squatters” took advantage of the legal confusion surrounding the Massachusetts/NY border. Regional population began to increase rapidly after 1750 as indigenous resistance was quashed. The County’s population continued to increase through 1850, apparently supported mainly by the expansion of agriculture (Fig. 12). Population subsided as agriculture began to wane, and 1850 levels were not reached again until about 1970.

Fig.
13. The distribution of early
industry in the County based upon an 1839 map of the region. At this
point,
most mills and other mechanized industries were directly hydro-powered.
The County’s landscape has gone through a dramatic historical metamorphosis: prior to European settlement, it was likely at least 95% forested; by the 1850 peak of farming, forest covered only about 15% of the terrain; finally, with the recent decline in agriculture, woodlands now cover nearly 80% of the County (Fig. 12).


Figs. 14 (top) and 15 (bottom). Livestock have
generally declined since
the
late 19th century although there was a brief
upsurge in milk cows
(which are also included in “cattle”). Agricultural production surged
dramatically in the 20th century as first apple
and then dairy (and
associated feed corn) rose. Although agricultural land began to
decrease early
in the 20th century, loss of the land base was
largely offset by
increased yield until the last quarter of the 20th
century.


Fig. 17. The modern distribution of agriculture in Columbia County. Current agriculture occurs mainly in the Hudson and Harlem Valleys. Based upon NYS Office of Real Property data on the designations of existing land parcels. Units do not necessarily reflect distinct business enterprises.
The most healthy sector of present-day agriculture appears to be niche farming, i.e., farming which provides specialized foods (e.g., organic, local, pasture-raised, etc.) to affluent markets and concerned consumers willing to pay extra for these items. Farmers markets and C.S.A.’s (community supported agriculture) have blossomed. Much of the best agricultural land also appears to be a prime target for current development (Fig. 18). Maintaining the County’s agricultural landscape is of growing interest to residents, and various programs have arisen to support it

Fig. 18. The
relationship
between
agriculture (as reflected
by the distribution of NYS agricultural districts) and development
intensity
(indexed as the ratio of the average annual number of single-family
housing permits
during the period 2000 – 2005 over the same statistic for 1984 – 1999).
Townships in the lowest intensity class also have the lowest extent of
land in
agricultural districts (37%), while the most intensely developing
townships
average 87% agricultural district.
Permit data from U.S. Dept. of Housing and Urban Development
(socds.huduser.org).
Despite the previously-noted 20th century boom in agricultural production (Fig. 15), individuals making a living from farming began a steady decline by 1900 (Fig. 12). By 1964 (Fig. 19), the work force was engaged mainly in manufacturing, government employment, services, and retail in roughly equal measure. Agriculture had declined to relative unimportance in terms of employment (8% of the work force). That decline would only continue (Fig. 20), joined by a drop in the importance of manufacturing and a jump in the role of services and construction. By 2004, services far exceeded the remaining sectors, employing 40% of the workers.; meanwhile agriculture claimed only 4% of the total and had declined in real as well as relative terms (Fig. 21). Service industries continue to grow (Fig. 22) led by expansion in educational services, administration and real estate.

Fig. 19. The composition of the Columbia County
workforce in 1964.
Manufacturing, government, services and retail get a fairly equal cut
of the
pie. Date from US Dept. of Commerce, Bureau of Economic Analysis.


Fig. 22. The dynamics of employment in the service sector of the Columbia County economy, indicated as number of employees in given service job in 2004 relative to number in 2000. Date from US Dept. of Commerce, Bureau of Economic Analysis.
The recent evolution of unemployment and wages are two measures of changes in economic well-being. Absolute unemployment rates and absolute per capita incomes are not as useful as relative values. For example, if county unemployment rates increased by 1% while the state average increased by 3%, then Columbia County would still be doing relatively well. Columbia County’s relative unemployment rate (Fig. 23) has, if anything increased, over the past 10 years, rising from 56% to more than 81% of the state average. Relative per capita income (Fig. 24) has likewise not improved: in 2000, the County’s per capita income was nearly 82% of the State average; in 2006, it was under 76%. The differences, at least in the case of income, are not large, and, in both cases, there is ample year-to-year variation. However, the main point appears to be that the influx of capital that fueled the rise in house prices has not translated into improved employment conditions for individuals working in the County.

Fig. 23. Columbia County unemployment rate as a % of the New York State rate. If anything, relative unemployment has increased in the County. The dotted red line is a just meant to illustrate general trend. Data from the U.S. Bureau of Labor Statistics.
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Fig. 24. Columbia County per capita income as a % of the New York State per capita average (black line); dotted red line models the trend. Relative incomes have generally been flat, although 2006 saw the lowest relative average in recent history. Data from the U.S. Bureau of Economic Analysis.
Two patterns bear further discussion. First, it’s worth exploring the degree to which the County serves as a bedroom community for individuals who work elsewhere, and what patterns may exist between extra-county work and income levels. The number of residents who work in the County has been declining steadily over the past 30 years (Fig. 25). The majority of extra-county commuters live in the northern and southern tier of townships where most workers commute to the Capital District and Dutchess County respectively (Fig. 26). Although the proportion of workers commuting out of the County is roughly equal in both regions, median household income in the southern area is markedly lower (Fig. 27). Population living in poverty also tends to be higher to the south, although the pattern is not as marked (Fig. 28). Whether the lower household incomes in the south reflect a lower wealth of non-commuters or poorer salaries received by commuters is not immediately clear in the statistics. It is, however, easy to believe that Albany, which is the state capital, home to a State University Campus, and future nanotech hub, offers better salaries.


Fig. 26. Percent of workforce
which
works outside of the
County by township (indicated by depth of green shading) and the
workplaces of
extra-county commuters. Northern and southern townships show the
greatest
extra-county commuting although destinations differ. Data from US
census.

Fig. 27. Median household income of residents. The median income of some northern townships is twice that of certain southern ones. Data from US census.

The apparent importance of the Capital District for current housing development is evidenced in Figs. 18 and 29. The former figure indicates that the NW corner of the County is one of the most rapidly developing parts of the County, while the latter indicates that the rate of subdivision was highest in the northern half of our area. However, work by Crowell (2005) showed that for “arm’s-length sales” of residential land, 68% of purchasers were from Columbia, Dutchess or Rennsalaer Counties, 26% from the NYC area, and only 6% from elsewhere (which would include most of the Capital District counties). There is no doubt that Capital District jobs are an important economic source for the northern part of the County. It is less clear that the current boom in housing and jump in housing prices (see below) relate to changes in this part of the economy.

Fig. 29. The recent rate of subdivision indicated as the average annual change in number of parcels. Subdivision appears to be occurring outside of the wealthier regions and on the flatter land. The influence of individual town governments can also be substantial. Data compiled by Crowell (2005) from data in the Columbia County Assessor’s office.
A second trend worth noting is that of increasing home purchases by NYC residents. This dynamic appears to have had a major influence on housing prices and construction in at least part of the County. This settlement pattern grew post 9-11 as fear of city life fueled a shift to country living, and the internet facilitated tele-commuting. The County’s access by highway (the Taconic State Parkway, I-90) and by rail (Amtrak to Hudson, Metro North to Wassaic in northern Dutchess County just south of the County) have aided this flow of people. The statistics of Crowell (2005) have already been mentioned: more than a quarter of all arm’s length purchases of residential land made between 2001 and 2003 were by NYC residents. An evaluation of the tax rolls, shows that 15% of recently constructed houses in the County were owned by individuals who listed NYC region addresses. It appears that there has been a rise in both second home purchases and in residential exodus from the City. Most of the second homes owned by NYC residents are located midst the scenic, forested hills of the eastern side of the County (Fig. 30). Further evidence of this pattern is the distribution of vacant units in the County (even though this is pre-2001 data; Fig. 31).



Fig. 32. Absolute
number of
building
permits issued for
single family homes in Columbia County (excepting Gallatin for which
there were
no data). An earlier housing boom in the last half of the 1980s is
readily apparent
as is the current one. Permit
data from U.S. Dept. of Housing and Urban Development
(socds.huduser.org).
Housing
construction (as measured by building permits) surged after 2000,
peaked in
2004, and dropped in 2005 (Fig. 32; the decline continued in 2006).
This
followed an earlier boom and bust in the late 1980s. The distribution
of
building permits (Fig. 33) suggests that a variety of markets are
driving
this. The
relatively high construction
rates along the eastern margin of the County may partially reflect the
pressures just discussed. However, the density of housing construction
in the
NW township of Kinderhook is likely tied to Capital
District markets, and development in the central township of Ghent can not easily be explained by either of these.
Aside from any implications for county sociology, the substantial in-flow of NYC buyers has dramatically affected house affordability. Apparently, NYC salaries rather than local salaries are now driving much of the housing market. Since 2000 the median single-family house price has more than doubled (Fig. 34), putting many homes out of reach of residents (the index for affordability for the county as a whole is now around 4.8). While we do not have recent statistics for the individual townships, housing affordability probably continues to follow the earlier geographic patterns indicated in Fig. 35, although affordability has likely dropped substantially in each township (the county-wide rate was 2.7 in 1999).
The parcel subdivision intensity (Fig. 29) does not mirror apparent distribution of second homes. This suggests that many of the new second homes are on relatively large parcels and the construction of high-end units may not be the primary driver of subdivisions. Sub-divisions appear to be more likely to provide homes for full-time residents. (The potential role of Capital District commuters is also indicatedin the map of house values [Fig. 36], although this map is largely outdated.)
Fig. 33. Distribution of building permits issued between full-time residents. 2001 and 2005. Permit data from U.S. Dept. of Housing and Urban Development (socds.huduser.org)
Fig. 34. Years of average resident’s annual salary need to buy a median-priced house in Columbia County since 2000. Over this period, median house price rose from slightly less than $100,000 to around $225,000. Data from NYS Assoc. of Realators and US. Census.

Fig. 35. The distribution of the 1999 house affordability index (median house price/median household income). A value above three is considered problematic; the county average is now around 4.8. Data and interpretation courtesy of S. Goetz.

Fig. 36. Median house value in 1999 by census block; these data are outdated. Data from US census.
Conflict between residents and new comers exists. It was exemplified by the debate in the first years of this century over the expansion of a large cement plant south of the city of Hudson. Opposition, largely (but hardly entirely) composed of new-comers, crystallized and eventually thwarted these industrial plans. Sometimes pitched as a debate between locals looking for a job and second-home owners hoping to maintain their view, the reality was, of course, more complex: the County was beginning to profit from its status as a rural retreat and so all could well suffer if that image were begrimed. Health concerns and confusing messages from the industry itself contributed to more widespread skepticism. Disquiet continues, often in the form of land use debates as developers benefit from the state of farmers whose dire economic conditions and now hugely increased land values make them willing to sell (between 2000 and 2003, the price of vacant land increased 169% [S. Crowell 2005 from Office of Real Property]). Urban émigrés have brought a series of lawsuits challenging local planning and taxation decisions.
Such new-comer / long-term resident disagreement is somewhat along political party lines as what was a conservative Republican county now turns more Democratic (Fig. 37). Some of the resistance to land use regulation is based not only on we/them tension, but also on a deeply-held political philosophy that shuns regulation of free enterprise and is suspicious of change. Some townships in the County do not yet have zoning, and some who do forbid “cluster housing” out of fear of cults and/or low-income housing. This further fuels the “extensification” of settlement. In response to increasing house construction, many communities adopted large-lot (e.g., seven acres) zoning which has resulted in a dispersed settlement pattern. This has been driven in part by the desire of some city émigrés to find solitary escape rather than community, and fits well with the patterns of ridge-top estates and gated communities. Large, million dollar plus homes dot some ridgetops especially in the eastern more hilly portions of the County. Smaller lot sizes in the western, flatter regions have corresponded to the spread of subdivisions on former farmland

Fig. 37. Political affiliations of registered voters. In this over-simplified diagram, I have combined Republican and somewhat like-minded parties in the “conservative” category, and combined Democrats and affiliates under the “liberal” label. Data NYS Board of Elections.
Many of the geographic factors that influenced county history continue to do so today. While the decrease of agriculture has reduced the relevance of plant growth factors in determining settlement patterns, topography, as a factor influencing vistas and landscapes, continues to exert a large influence on who settles where. Likewise, while the County no longer ships much hay, grain, livestock or dairy to NYC, that city continues to have a huge effect on the County’s economics. It forms the biggest market for the newly arising niche farms, and, even more centrally, second-home owners in or recent urban émigrés from “the City” are primary determinants not only of the County’s housing markets, but likely many other aspects of the economy. The relationship to Albany has doubtless existed for a long time, although it is only with the increasing viability of commuting and the decrease in local agriculture and manufacturing that northern Columbia County has become a bedroom community for the Capital District.
As one interested in conservation, the numeric changes which I have documented only raise further questions regarding the relationship between those living in the County (even part-time) and the land. Professions based upon the land and/or based in the County have declined markedly over the past 50 years and continue to do so. The amount of land occupied by residents (as opposed to absentee owners) has declined substantially, although I would like to see acreage estimates. These local trends are compounded by other societal trends (reduced interest in hunting, more adamant land posting) that may further reduce the contact that people have with their natural surroundings. Such a climate creates a profound challenge for those wishing to encourage a landscape-scale perspective on land use. At the same time, a less utilitarian perspective and additional financial resources may motivate and enable new arrivals to the County to enhance landscape preservation. The central issue is determining how to pursue this laudable goal in a way that does not compromise the environmental justice of any of the County’s citizens and, ideally, even enhances it.
