Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cayuga County, NY
Series ID MHICILBNY36011A052NCEN
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 12:51 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 24371
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28184
1994-01-01 .
1995-01-01 29715
1996-01-01 .
1997-01-01 32432
1998-01-01 33620
1999-01-01 33618
2000-01-01 35083
2001-01-01 34651
2002-01-01 34878
2003-01-01 35829
2004-01-01 37055
2005-01-01 39740
2006-01-01 40770
2007-01-01 42710
2008-01-01 44423
2009-01-01 45225
2010-01-01 46719
2011-01-01 45198
2012-01-01 47673
2013-01-01 46051
2014-01-01 50589
2015-01-01 49052
2016-01-01 50214
2017-01-01 52494
2018-01-01 49303
2019-01-01 54431
2020-01-01 53360
2021-01-01 59432
2022-01-01 61105

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