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Question

The following table shows the amount of annual rainfall in inches in 8 different states of India.

T

A

M

N

K

P

D

R

2015

80

70

98

78

68

65

70

59

2016

85

70

95

77

69

60

71

59

2017

86

71

96

76

66

67

71

59

2018

84

70

96

75

67

66

69

61

2019

80

74

97

74

67

64

75

60

2020

81

75

98

75

68

65

74

65

2021

82

72

98

73

70

65

73

65

How many states have witnessed an increase in the amount of annual rainfall continuously for two times in immediate years?

This question was previously asked in
SSC CGL 2022 Tier-II (Paper 2 JSO) Previous Year Paper (04-Mar-2023)
The correct answer is

4

Understanding Annual Rainfall Trends in Indian States

The question asks us to identify the number of states that experienced a continuous increase in annual rainfall for two consecutive years within the period from 2015 to 2021. This means we are looking for a sequence of three immediate years where the rainfall in the second year was greater than the first, and the rainfall in the third year was greater than the second.

Annual Rainfall Data (2015-2021)

Here is the provided annual rainfall data for 8 states (T, A, M, N, K, P, D, R) over the years 2015 to 2021:

State 2015 2016 2017 2018 2019 2020 2021
T 80 85 86 84 80 81 82
A 70 70 71 70 74 75 72
M 98 95 96 96 97 98 98
N 78 77 76 75 74 75 73
K 68 69 66 67 67 68 70
P 65 60 67 66 64 65 65
D 70 71 71 69 75 74 73
R 59 59 59 61 60 65 65

Criteria for Continuous Rainfall Increase

We need to find states where the annual rainfall showed an increasing trend for two consecutive years. For example, if the rainfall in 2016 was higher than in 2015, AND the rainfall in 2017 was higher than in 2016, this state meets the criteria for the period 2015-2017. We check all possible two-year consecutive increase periods within the 2015-2021 range:

  • Increase from 2015 to 2016 AND 2016 to 2017
  • Increase from 2016 to 2017 AND 2017 to 2018
  • Increase from 2017 to 2018 AND 2018 to 2019
  • Increase from 2018 to 2019 AND 2019 to 2020
  • Increase from 2019 to 2020 AND 2020 to 2021

A state qualifies if it shows at least one such sequence of two immediate years of continuous rainfall increase.

State-wise Rainfall Trend Analysis

Let's examine each state's rainfall data to identify periods of continuous increase over two immediate years:

  • State T:
    • 2015-2017: 80 < 85 < 86. Yes (Increase 2015->2016 and 2016->2017).
    • 2016-2018: 85, 86, 84. No (84 is not > 86).
    • 2017-2019: 86, 84, 80. No.
    • 2018-2020: 84, 80, 81. No.
    • 2019-2021: 80 < 81 < 82. Yes (Increase 2019->2020 and 2020->2021).
    State T had continuous increases over two immediate years.
  • State A:
    • 2015-2017: 70, 70, 71. No (70 is not > 70).
    • 2016-2018: 70, 71, 70. No.
    • 2017-2019: 71, 70, 74. No.
    • 2018-2020: 70 < 74 < 75. Yes (Increase 2018->2019 and 2019->2020).
    • 2019-2021: 74, 75, 72. No.
    State A had continuous increase over two immediate years.
  • State M:
    • 2015-2017: 98, 95, 96. No.
    • 2016-2018: 95, 96, 96. No.
    • 2017-2019: 96, 96, 97. No.
    • 2018-2020: 96 < 97 < 98. Yes (Increase 2018->2019 and 2019->2020).
    • 2019-2021: 97, 98, 98. No.
    State M had continuous increase over two immediate years.
  • State N:
    • 2015-2017: 78, 77, 76. No.
    • 2016-2018: 77, 76, 75. No.
    • 2017-2019: 76, 75, 74. No.
    • 2018-2020: 75, 74, 75. No.
    • 2019-2021: 74, 75, 73. No.
    State N did not have continuous increase over two immediate years.
  • State K:
    • 2015-2017: 68, 69, 66. No.
    • 2016-2018: 69, 66, 67. No.
    • 2017-2019: 66, 67, 67. No.
    • 2018-2020: 67, 67, 68. No.
    • 2019-2021: 67 < 68 < 70. Yes (Increase 2019->2020 and 2020->2021).
    State K had continuous increase over two immediate years.
  • State P:
    • 2015-2017: 65, 60, 67. No.
    • 2016-2018: 60, 67, 66. No.
    • 2017-2019: 67, 66, 64. No.
    • 2018-2020: 66, 64, 65. No.
    • 2019-2021: 64, 65, 65. No.
    State P did not have continuous increase over two immediate years.
  • State D:
    • 2015-2017: 70, 71, 71. No.
    • 2016-2018: 71, 71, 69. No.
    • 2017-2019: 71, 69, 75. No.
    • 2018-2020: 69, 75, 74. No.
    • 2019-2021: 75, 74, 73. No.
    State D did not have continuous increase over two immediate years.
  • State R:
    • 2015-2017: 59, 59, 59. No.
    • 2016-2018: 59, 59, 61. No.
    • 2017-2019: 59, 61, 60. No.
    • 2018-2020: 61, 60, 65. No.
    • 2019-2021: 60, 65, 65. No.
    State R did not have continuous increase over two immediate years.

Summary of Results

The states that witnessed an increase in the amount of annual rainfall continuously for two immediate years are State T, State A, State M, and State K.

Let's count these states:

  • State T: Yes
  • State A: Yes
  • State M: Yes
  • State N: No
  • State K: Yes
  • State P: No
  • State D: No
  • State R: No

There are 4 states that meet the specified criteria.

Conclusion

Based on the analysis of the annual rainfall data from 2015 to 2021, 4 states have witnessed an increase in the amount of annual rainfall continuously for two immediate years at least once during this period.

Revision Table: Key Learnings

Concept Explanation Application to Problem
Data Analysis Examining data points over time to find patterns. Analyzing rainfall data year-by-year for each state.
Consecutive Increase A value increasing from one period to the next, and then increasing again in the subsequent period. Checking for Year X < Year X+1 < Year X+2 rainfall pattern.
Counting based on Criteria Identifying how many items in a set meet a specific condition. Counting the number of states with the continuous increase pattern.

Additional Information: Rainfall Patterns and Climate Data

Analyzing annual rainfall data is crucial for understanding climate patterns and their impact on agriculture, water resources, and ecosystems. Rainfall can vary significantly from year to year due to various climatic factors, including monsoons, El Niño/La Niña cycles, and regional weather systems. Continuous increase or decrease over multiple years can indicate potential shifts in local or regional climate trends, although a longer dataset would be needed for definitive climate change conclusions. Data presented in tables like this helps in identifying trends, anomalies, and comparing performance across different regions.

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