Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Catahoula Parish, LA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Catahoula Parish, LA
Series ID MHICILBLA22025A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 13132
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15187
1994-01-01 .
1995-01-01 17224
1996-01-01 .
1997-01-01 17751
1998-01-01 19205
1999-01-01 21184
2000-01-01 21988
2001-01-01 21498
2002-01-01 21316
2003-01-01 22917
2004-01-01 22677
2005-01-01 22685
2006-01-01 23991
2007-01-01 27188
2008-01-01 28381
2009-01-01 26820
2010-01-01 28364
2011-01-01 28865
2012-01-01 28340
2013-01-01 30235
2014-01-01 30742
2015-01-01 30426
2016-01-01 29833
2017-01-01 29274
2018-01-01 31853
2019-01-01 32300
2020-01-01 33335
2021-01-01 33621
2022-01-01 36941
2023-01-01 34989
2024-01-01 40126

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