Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Converse County, WY
Series ID MHICILBWY56009A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 26770
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30880
1994-01-01 .
1995-01-01 31532
1996-01-01 .
1997-01-01 34946
1998-01-01 36908
1999-01-01 37784
2000-01-01 38838
2001-01-01 39128
2002-01-01 40132
2003-01-01 42192
2004-01-01 44093
2005-01-01 43430
2006-01-01 48026
2007-01-01 48732
2008-01-01 52178
2009-01-01 53163
2010-01-01 53258
2011-01-01 54547
2012-01-01 59181
2013-01-01 56757
2014-01-01 56894
2015-01-01 64834
2016-01-01 67792
2017-01-01 58748
2018-01-01 60839
2019-01-01 63958
2020-01-01 69537
2021-01-01 65485
2022-01-01 68308
2023-01-01 67320

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