Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cattaraugus County, NY
Series ID MHICIUBNY36009A052NCEN
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 26324
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29303
1994-01-01 .
1995-01-01 32275
1996-01-01 .
1997-01-01 34229
1998-01-01 34924
1999-01-01 34868
2000-01-01 37223
2001-01-01 35735
2002-01-01 35932
2003-01-01 37106
2004-01-01 38447
2005-01-01 39305
2006-01-01 40950
2007-01-01 42546
2008-01-01 44926
2009-01-01 40717
2010-01-01 43024
2011-01-01 41498
2012-01-01 45086
2013-01-01 43323
2014-01-01 46545
2015-01-01 43210
2016-01-01 49134
2017-01-01 50764
2018-01-01 50664
2019-01-01 53153
2020-01-01 57121
2021-01-01 58561
2022-01-01 56392

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