Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wyoming County, NY

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wyoming County, NY
Series ID MHICIUBNY36121A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:51 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 30185
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33087
1994-01-01 .
1995-01-01 35507
1996-01-01 .
1997-01-01 38791
1998-01-01 40322
1999-01-01 40547
2000-01-01 42616
2001-01-01 41342
2002-01-01 41641
2003-01-01 42633
2004-01-01 44411
2005-01-01 45946
2006-01-01 50729
2007-01-01 52023
2008-01-01 51911
2009-01-01 50888
2010-01-01 50342
2011-01-01 53692
2012-01-01 51611
2013-01-01 55323
2014-01-01 56588
2015-01-01 56682
2016-01-01 59019
2017-01-01 58435
2018-01-01 61944
2019-01-01 62285
2020-01-01 66761
2021-01-01 72333
2022-01-01 71259

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