2000 Values

[Karri Weston]

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Methods: In line with recommendations for standardising measurements from M mode echocardiograms, and using digital echocardiographic equipment, measurements were obtained of the following: right ventricular anterior wall thickness at end diastole, right ventricular end diastolic dimension, thickness of interventricular septum at end diastole and end systole, thickness of posterior wall of the left ventricle at end diastole and end systole, left ventricular dimension at end diastole and end systole, pulmonary and aortic valve diameter, and left atrial dimension.

Results: Measurements are presented graphically on centile charts with respect to body surface area, and as tables with mean and 2 SD values for newborns in relation to body weight, and for infants and children in relation to body surface area. Best fitting regression equations are given for each measured variable, using the 50th centile values.

Conclusion: In comparison with previously published normal values, the presented charts and tables make it possible to judge echocardiographic measurements of a particular patient as normal or abnormal.

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This paper gives the 1998 self-consistent set of values of the basic constants and conversion factors of physics and chemistry recommended by the Committee on Data for Science and Technology (CODATA) for international use. Further, it describes in detail the adjustment of the values of the subset of constants on which the complete 1998 set of recommended values is based. The 1998 set replaces its immediate predecessor recommended by CODATA in 1986. The new adjustment, which takes into account all of the data available through 31 December 1998, is a significant advance over its 1986 counterpart. The standard uncertainties (i.e., estimated standard deviations) of the new recommended values are in most cases about 1/5 to 1/12 and in some cases 1/160 times the standard uncertainties of the corresponding 1986 values. Moreover, in almost all cases the absolute values of the differences between the 1998 values and the corresponding 1986 values are less than twice the standard uncertainties of the 1986 values. The new set of recommended values is available on the World Wide Web at physics.nist.gov/constants.

This report, part of a series that presents population and housing data collected by Census 2000, presents data on median home values in the United States, including regions, states, counties, and places with populations of 100,000 or more. It also includes home values for householders by age, race, and Hispanic origin, as well as other findings.

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1 The text of this report discusses data for the United States, including the 50 states and the District of Columbia. Data for the Commonwealth of Puerto Rico are shown in Table 1 and Figure 5.

2 The estimates in this report are based on responses from a sample of the population. As with all surveys, estimates may vary from the actual values because of sampling variation or other factors. All statements made in this report have undergone statistical testing and are significant at the 90-percent confidence level, unless otherwise noted.

As mentioned in About custom field types, I can create up to 2,000 values in a custom drop-down list. For my use case, I will need to add more than 2,000 options to a custom drop-down field. What options do I have?

Imagine that you have a list of 6,000 products. Create a custom object for Products. Then, create a custom object record for each of your products. Next, create a custom lookup relationship ticket field that allows your agents to search all your product options in the single ticket field. At this time, end users can't interact directly with custom lookup fields.

To set up this example

Segment your options across multiple fields and use conditional fields to present users with relevant options. For instance, if you have a list of 6,000 products, organize them into different catalogs. Display Catalog A, Catalog B, and Catalog C. Each catalog would have its drop-down ticket field with 2,000 products. Then, use conditional ticket field functionality to display one catalog at a time.

Users will choose the main catalog first, and then they will get a smaller list that's specific to the catalog they picked. This solution can be used by both agents and end users.

To configure this example

Farmland values have increased considerably in recent years, with double-digit annual growth in some States. Between 1994 and 2004, national average farm real estate values (including land and structures) increased between 2 and 4 percent annually in inflation-adjusted terms. In 2005 and 2006, they increased by 16 and 10 percent, respectively. And while the modest dip in national average values in 2008-09 suggests farm real estate values were not immune to the effects of the recession, average values for the Nation during the period mask wide regional variation. In 31 States, farm real estate values increased over 2007-09; declines were largely concentrated in the more urbanized States along the East Coast, where residential and commercial development opportunities strongly influence farmland values. In 2010 and 2011, States in several regions, including the Corn Belt and Great Plains, experienced significant growth in cropland values--including a 31-percent spike in Iowa from the third quarter of 2010 to the third quarter of 2011--while many States in the Southeast and Northeast experienced declines.

With a value of $1.85 trillion, farm real estate accounted for 85 percent of the total value of U.S. farm assets in 2010. Because farmland represents the major asset for most U.S. farm businesses and is the largest single investment in a typical farmer's portfolio, changes in farm real estate values affect the financial well-being of agricultural producers. In addition, farm real estate serves as the principal source of collateral for farm loans--enabling farm operators to purchase additional farmland and equipment, finance current operating expenses, and meet household needs

ERS researchers recently examined several factors that affect farmland values, including the role of farm business earnings; macroeconomic factors, such as interest rates; and changes in competing land markets. Although the recent rates of increase in farmland values are reminiscent of the boom experienced in the late 1970s, when high returns and Federal policies that increased incentives for investing in agriculture fueled a bubble, recent high farmland price increases are not occurring under the same conditions that contributed to the earlier boom. Current farmland values, at least for the farm sector as a whole, appear to be supportable given recent trends in farm earnings and interest rates.

Economic theory posits that land values are derived mainly from expectations about the future stream of income generated by its most profitable use, with consistently higher incomes leading to higher land values. However, farm income trends do not always move in the same direction as farmland values. Although farm incomes and farmland values were once closely linked, in recent decades, the relationship has become less clear at the national level. Many factors not directly related to agricultural production help account for the weakening link between farm income and farmland values. For example, in areas close to urban centers, the value of farmland reflects the returns it could earn from being developed for housing or commercial use when those returns exceed those for agricultural use alone. Even in relatively remote areas heavily dominated by agriculture, nonagricultural factors, such as income from hunting leases, may push farmland values higher than could be justified from farming alone. In addition, a substantial number of farm operators--about 1.2 million of the Nation's 2 million principal farm operators--do not engage in farming as their primary occupation (for example, operators can meet the minimum criteria for being considered a farm--generating $1,000 in sales of agricultural products in a typical year--by grazing cattle and selling some each year. Low levels of farming activity can leave time for working off-farm jobs). While this group of operators controls a significant amount of farmland, it does not generate much income from farming, on average. For these farm operators, owning and living on a farm may have less to do with the economic returns to the farm business than with the lifestyle and recreational benefits farmland provides.

Comparisons of rent-to-value (RTV) ratios demonstrate changes in the value of land relative to farm income. At a national level, average rent-to-value ratios--calculated as the average cash rent per acre divided by the average per acre value of land--have been decreasing over the past 45 years. Decreasing RTV ratios are consistent with the growing importance of nonagricultural factors in determining land values that may not be reflected in rents. Over the last decade, declining RTV ratios have occurred in every region of the country, though in some regions the changes are larger or more variable than in others.

The rapid rise in farmland values over the last decade and the influence of nonagricultural factors on land values raise two critical questions for farmers. For the 800,000 farm operators that continue to depend on farming for their livelihood, is farmland still affordable? And how vulnerable are farmland values to unexpected changes in interest rates and the residential housing market, both of which have experienced significant changes in the last 10 years?

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