Number of Girls and Boys Born in Punjab 2025
Number of Girls and Boys Born in Punjab 2025
Introduction
The Punjab Health Department has new data. More girls are born now, but the number is still low.
Main Body
In 2025, there are 924 girls for every 1,000 boys. This is more than in 2024. But the national average is 928. Punjab is still below this number. Some areas are good. Nawanshahr and Hoshiarpur have many girls. But the Malwa area is bad. In Muktsar, the number of girls is very low. Health workers are helping. They check clinics and hospitals. They want to stop people from choosing only boys. The government has a program called 'Beti Bachao, Beti Padhao'. It teaches people that girls are important. It tells people to send girls to school.
Conclusion
Some cities are better. But Punjab still has a problem with the number of girls.
Learning
⚖️ The Logic of 'More' and 'Less'
In this text, we see how to compare things simply. When we talk about numbers or quality, we use specific patterns to show if something is increasing or decreasing.
1. Comparing Now to Before
- "More girls are born now" Use More + [Noun] to show an increase.
- "This is more than in 2024" Use More than to compare two different times.
2. Highs and Lows
- Good/High: "Many girls" (A large number).
- Bad/Low: "Very low" (A small number).
3. The 'Below' Concept
- "Punjab is still below this number" Below is used here like a ladder. If the target is 928 and Punjab is 924, Punjab is below the line.
Quick Guide: Simple Opposites from the Text
| High/Positive | Low/Negative |
|---|---|
| More | Low |
| Good | Bad |
| Important | (Not mentioned, but opposite of unimportant) |
Vocabulary Learning
Analysis of Birth Sex Ratio Trends in Punjab for 2025
Introduction
Recent data from the Punjab Health Department shows a small increase in the state's sex ratio at birth, although the number is still lower than the national average.
Main Body
The total sex ratio at birth in Punjab rose from 922 females per 1,000 males in 2024 to 924 in 2025. Despite this slight improvement, the state is still performing worse than the national average of 928. A detailed analysis shows large differences between regions. For example, the Doaba region performed the best, with Nawanshahr and Hoshiarpur recording 964 and 962 females per 1,000 males. In contrast, the Malwa region shows a clear downward trend, as 10 out of the 14 districts there reported a decrease. Notably, Sangrur saw its ratio drop from 918 in 2023 to 896 in 2025, while Muktsar recorded the lowest ratio at 891. To address these changes, the Department of Health and Family Welfare is using several strategies. The department is currently tracking pregnancy registrations and abortion data, while regularly reviewing progress with health officials. In Nawanshahr, officials have instructed health workers to increase monitoring at diagnostic centers to identify high-risk cases. Furthermore, these efforts are supported by the 'Beti Bachao, Beti Padhao' campaign. This initiative uses schools and clinics to reduce social causes of gender imbalance, such as the preference for sons and the illegal use of sex-determination tests.
Conclusion
Although some districts are improving, the overall sex ratio in Punjab remains too low and varies significantly by region.
Learning
🚀 The 'Comparison' Jump
At the A2 level, you likely say: "Punjab is bad. The national average is better." To reach B2, you need to connect these ideas using Contrast Connectors and Comparative Adjectives. This allows you to describe trends and data like a professional.
⚡ The Power Move: "Despite" & "In Contrast"
Look at how the article connects opposite ideas. Instead of using "but" for everything, try these:
-
Despite + [Noun/Noun Phrase]: Used to show a surprising contrast.
- Example: "Despite this slight improvement, the state is still performing worse..."
- B2 Logic: You aren't just saying it improved; you are saying that the improvement wasn't enough to fix the main problem.
-
In contrast: Used to switch focus between two different groups.
- Example: "Doaba performed the best... In contrast, the Malwa region shows a downward trend."
- B2 Logic: This creates a clear map in the reader's head: Group A Group B.
📈 Describing Movement (Beyond 'Up' and 'Down')
Stop using "go up" or "go down." B2 speakers use specific Trend Verbs:
| A2 Word | B2 Upgrade (from text) | Context |
|---|---|---|
| Went up | Rose | "The ratio rose from 922 to 924." |
| Went down | Dropped | "Sangrur saw its ratio drop..." |
| Different | Varies significantly | "The ratio... varies significantly by region." |
🛠️ Pro Tip: The 'Comparing' Structure
Notice the phrase: "...performing worse than the national average."
Structure: [Subject] + [Verb] + [Comparative Adjective] + than + [Benchmark]
By using a Benchmark (like 'the national average'), you move from simply describing a thing to analyzing a thing. This is the hallmark of B2 fluency.
Vocabulary Learning
Analysis of Sex Ratio at Birth Trends within Punjab State for the 2025 Period
Introduction
Recent data from the Punjab Health Department indicates a marginal increase in the state's sex ratio at birth, though the figure remains below the national benchmark.
Main Body
The aggregate sex ratio at birth in Punjab transitioned from 922 females per 1,000 males in 2024 to 924 in 2025. Despite this incremental rise, the state continues to underperform relative to the national average of 928. A granular analysis reveals significant regional disparities; the Doaba region demonstrated the highest efficacy, with Nawanshahr and Hoshiarpur recording 964 and 962 females per 1,000 males, respectively. Conversely, the Malwa region exhibits a pronounced downward trajectory, accounting for 10 of the 14 districts reporting a decline. Notable among these is Sangrur, which has experienced a triennial decrease from 918 in 2023 to 896 in 2025. The lowest recorded ratio was observed in Muktsar at 891. Institutional responses to these demographic shifts involve a multifaceted approach. The Department of Health and Family Welfare is currently monitoring antenatal registrations and abortion data, while conducting periodic reviews with Civil Surgeons. In Nawanshahr, administrative directives have been issued to Auxiliary Nurse Midwives (ANM) and Accredited Social Health Activists (ASHA) to intensify surveillance at diagnostic centers, specifically targeting high-risk demographics. These systemic interventions are supplemented by the 'Beti Bachao, Beti Padhao' initiative, which utilizes educational and clinical venues to mitigate the sociocultural drivers of gender imbalance, such as son preference and the illicit application of sex-determination technologies.
Conclusion
While certain districts show improvement, the overall sex ratio in Punjab remains suboptimal and characterized by significant regional instability.
Learning
The Architecture of Academic Precision: Nominalization and Lexical Density
To bridge the gap from B2 to C2, a student must move beyond describing a situation and begin conceptualizing it. The provided text is a masterclass in Nominalization—the process of turning verbs or adjectives into nouns to create a dense, objective, and authoritative tone.
◈ The 'C2 Shift': From Action to Entity
B2 learners often rely on clausal structures (subject + verb + object). C2 mastery requires the ability to compress these into complex noun phrases.
- B2 approach: "The state is underperforming because the national average is higher."
- C2 approach (from text): "...the state continues to underperform relative to the national average..."
Notice how the author uses "incremental rise," "pronounced downward trajectory," and "systemic interventions." These are not merely words; they are conceptual bundles. By using a noun (e.g., trajectory) instead of a verb (e.g., declining), the writer treats the trend as a tangible object that can be analyzed, measured, and categorized.
◈ High-Utility C2 Collocations for Data Analysis
To achieve native-level sophistication in reporting, integrate these precise pairings identified in the text:
| The B2 Phrase | The C2 Upgrade | Linguistic Function |
|---|---|---|
| Small increase | Marginal increase | Nuanced quantification |
| Detailed look | Granular analysis | Precision of scope |
| Many ways | Multifaceted approach | Intellectual complexity |
| Bad/Not good enough | Suboptimal | Academic neutrality |
◈ Syntactic Sophistication: The 'Causality' Chain
Observe the phrase: "...to mitigate the sociocultural drivers of gender imbalance..."
In this single string, the writer has avoided using "because" or "since." Instead, they use "drivers" (a metaphor for cause) and "mitigate" (a precise verb for reducing severity). This allows the writer to link a social cause to a technical solution without losing the formal, detached register required for high-level institutional reporting.