Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chautauqua County, NY
Series ID MHICIUBNY36013A052NCEN
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 1:09 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 26211
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29611
1994-01-01 .
1995-01-01 32358
1996-01-01 .
1997-01-01 33884
1998-01-01 34829
1999-01-01 34516
2000-01-01 36924
2001-01-01 35726
2002-01-01 35798
2003-01-01 36083
2004-01-01 36927
2005-01-01 37348
2006-01-01 39824
2007-01-01 40606
2008-01-01 41882
2009-01-01 40726
2010-01-01 42075
2011-01-01 42027
2012-01-01 42643
2013-01-01 42382
2014-01-01 43434
2015-01-01 46359
2016-01-01 45149
2017-01-01 48157
2018-01-01 47822
2019-01-01 52591
2020-01-01 53676
2021-01-01 51376
2022-01-01 58815

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